$1.5B
Announced May 4, 2026 — incremental BDC + Regional Tariff Response Initiative funding for tariff-impacted manufacturers.
Source · Canada.ca, May 4 2026
AI WORKFORCE FOR CANADIAN MANUFACTURERS
The factory floor has AI.The front office doesn’t.
Vision systems watch welds. Predictive models tune torque. But the supervisor on the floor, the buyer chasing a missed shipment, and the operator without a laptop are still doing their work the way they did it ten years ago. Karmaflow is the operating layer in between.
Canadian-built · Hosted in Montreal · Live in 4–6 weeks · No system replacement
PROACTIVE · ALWAYS-ON
The agent finds you before the floor does.
While you’re walking the line, the agent is already in the data — surfacing a yield drift on Line 4, tracing it to the supplier lot it came from, and asking for your call on the parameter change. You stay in command. The agent does the assembly, the citations, and the follow-through.
No new dashboard to babysit. No alert fatigue. Just the right message, to the right person, with the receipts already attached.
See it in a 30-min walkthroughWHY NOW · TARIFFS · CAPITAL · CAPABILITY
Three forces pointing in the same direction.
Tariffs. Capital. And a real shift in what AI can do for a manufacturer’s day-to-day operations. For the first time in a decade, the case for productivity tooling isn’t theoretical — it’s funded, urgent, and within reach.
$13B+
Total federal envelope across SRF, BDC, RTRI, LETL, and the Workforce package now in market.
Source · ISED, Canada.ca
$50M
Maximum BDC tariff-response loan — 3-year deferred repayment, low interest. Open to manufacturers using steel, aluminum or copper.
Source · BDC, May 2026
29%
Of manufacturing COOs say their global production system is fully implemented. Most operate with partial adoption and disconnected pilots.
Source · McKinsey COO Survey, 2026
2%
Of manufacturing COOs say AI is fully embedded across their operations — meaning the runway for early movers is significant.
Source · McKinsey, May 2026
12.2%
Of Canadian businesses use AI in production or service delivery — doubled from 6.1% a year earlier. Adoption is accelerating.
Source · Statistics Canada, Q2 2025
“Today’s investment will give businesses the financing they need to strengthen their operations, protect good Canadian jobs, and build a more resilient industrial economy here at home.”
— Hon. Evan Solomon · Minister of AI & Digital Innovation · May 4, 2026
The word that recurs in every May 4 announcement is adapt. The federal narrative is explicit: short-term liquidity through loans, paired with a medium-term push to help manufacturers modernize operations, diversify markets, and improve productivity. Productivity tooling — the kind of AI agents this page describes — falls cleanly inside that mandate.
THE OPERATING LAYER · BETWEEN SYSTEMS AND PEOPLE
No system replacement.
No workforce retraining. Just the layer that was missing.
Most of the AI you read about today lives inside the equipment — vision systems on assembly lines, predictive maintenance, simulation. Mature categories, dedicated vendors, significant cost. The under-served layer is the operating layer that wraps around the equipment: the phone calls, the supplier check-ins, the shift handovers, the supervisor’s morning routine, the customer asking where their order is. Most of that work still happens by voice, SMS, and email — channels almost no AI tooling has reached.
Your systems of record
ERPSAP · NetSuite · Epicor
MESRockwell · Siemens · Tulip
CMMSMaximo · UpKeep · Fiix
QMSMasterControl · ETQ
WMS / TMSManhattan · Blue Yonder · MercuryGate
HRISADP · Workday · BambooHR
Karmaflow · the operating layer
AI agents that read, reason, and write back — on the channels people actually use.
One memory. One audit trail. Every action logged in the Unified Action Ledger.
Your people & counterparts
VoiceInbound + outbound · low latency
SMSMobile-first frontline · multilingual
EmailTriage · draft · summarise
ChatSite · Teams · embedded portals
No rip-and-replace. Karmaflow runs alongside your stack.No retraining. Operators keep using voice, SMS, and email.Live in 4–6 weeks per agent.
WHERE AGENTS FIT · 12 CONCRETE DEPLOYMENTS
The work that’s never on a dashboard. That’s where agents live.
Twelve agents we deploy for manufacturers today — each tagged with the channels it runs on and the systems it writes back into. None of them replace the line. All of them remove a queue, a phone tag, or a Monday-morning inbox that wasn’t going to get answered.
// 01
Inbound
Order-status concierge
Voice + SMS handles “where’s my order” calls, reads from your ERP, sends shipping confirmations.
VoiceSMSERP
// 02
Outbound
Supplier scramble
When a supplier misses, the agent calls 10 alternates in parallel and surfaces a buyer-ready ranking.
VoiceProcurement
// 03
HR
Shift swap & call-out line
“I can’t make my 6 a.m.” — agent finds a swap, updates the schedule, notifies the supervisor.
SMSVoiceHRIS
// 04
Quality
Customer complaint intake
Triages, captures lot and severity, opens a CAPA in your QMS, books the QA callback.
VoiceQMS
// 05
Sales
RFQ first-touch
Inbound RFQs are qualified, drawings and specs captured, a starter quote drafted for sales.
EmailCRM
// 06
Operations
Plant manager’s morning brief
5 a.m. email and 7 a.m. voice briefing built from MES, chat, and inbox data overnight.
EmailVoiceMES
// 07
Maintenance
Maintenance dispatcher
Operator describes the problem, agent classifies it, opens a CMMS work order, pages the right tech.
VoiceCMMS
// 08
Safety
Near-miss hotline
Anonymous voice line. Structures the report, logs to EHS, escalates the serious ones.
VoiceEHS
// 09
Training
Onboarding & SOP coach
New hire texts a question, agent walks them through, links the SOP, logs for L&D.
SMSVoiceLMS
// 10
Logistics
Freight check-in
Inbound carriers confirm windows and door assignments; outbound confirms customer receipt.
VoiceTMS
// 11
Finance
AR collection
Polite multi-touch dunning across email, SMS, and voice. Captures payment commitments.
EmailVoiceERP
// 12
Strategic
Tariff & policy watch
Monitors USTR, Canada Gazette, ISED. Drafts a 1-page exec brief when something material moves.
EmailExec
FOUR CHANNELS · ONE AGENT
The channels people actually use.
Most AI tooling today is a laptop tool — a dashboard, a copilot, a chat window. The people running a plant don’t live there. They live on voice, SMS, email, and chat. Karmaflow agents run on all four — same memory, same audit trail.
Voice
Inbound and outbound telephone. Natural-sounding, low latency, multilingual. The channel your suppliers, carriers, and customers default to.
SMS
Text-first interactions for the mobile-only frontline workforce. Shift swaps, scheduling, training Q&A — phones in pockets, not laptops.
Structured email handling, drafting, summarisation, and triage. RFQs parsed, complaints classified, AR follow-ups sequenced.
Chat
On your website, in Microsoft Teams, or embedded in existing portals. The new channel — already inside the workflows your office team lives in.
One agent. Four channels. Same memory. Same audit trail. Every action logged.
ADAPTATION PLAYS · MARKET DIVERSIFICATION · THE OTHER HALF OF “ADAPT”
The same operating layer can launch your next channel.
Adapt — the word that recurs in every May 4 announcement — has two halves. The first is operational productivity; the twelve agents above already deliver that. The second is market diversification: new customers, new geographies, new product lines. Historically, that path required a $1.5–3M customer-experience team. Same Karmaflow engine. No second-CX-team investment.
// 01
New Customer · D2C
Sell past the distributor.
Stand up direct-to-consumer without hiring a 20-person CX team. Voice, SMS, and chat agents handle inbound sales conversations, sizing and spec questions, order status, returns, and warranty — on day one. The same engine that runs your Order-Status Concierge internally now talks to your end customer.
Built on 01 · Order-Status Concierge// 02
New Geography · Export
Beyond the US.
Multilingual voice and SMS agents — French, Spanish, German, Mandarin, Portuguese — running on the same memory and audit trail as your domestic deployment. Tariff diversification stops being a hiring problem the moment the agent answers in the customer’s language.
Built on 02 · Supplier Scramble + 10 · Freight Check-in// 03
New SKU · Brand Extension
A new product line. No new sales team.
The agent answers questions across your full catalog, qualifies inbound interest, captures drawings and specs, and drafts the starter quote. The pattern from RFQ First-Touch applied to consumer-led demand — same audit trail, no separate stack.
Built on 05 · RFQ First-TouchTwelve agents handle the queues filling up today.
Three plays open the revenue lines opening tomorrow. Same platform. Same audit trail. No second CX investment.
And the conversations these agents have? They become the data stream the quality loop was missing. ↓
DATA-SCIENCE AGENTS · QUALITY · YIELD · ROOT CAUSE · CYCLE TIME
From quarterly review to continuous product intelligence.
Quality, yield, and process improvement traditionally ran on a cadence: a weekly meeting, a monthly review, a quarterly CAPA cycle. Each iteration was measured in weeks because the data lived in silos — vision system here, complaint log there, supplier SPC somewhere else. Data-science agents change the cadence because they read every stream at once, in real time, and act on the patterns that emerge across them.
LINE 4 · RESIN PRESS · YIELD %
UCL 90 / LCL 70
// 01Continuous SPC
Anomaly detection. Across every stream, at once.
A yield drop on Line 4 correlated with a new resin lot — flagged in minutes, not at next week’s standup. The agent watches every signal continuously and surfaces the ones that move together.
Fused: VISION · MES · SUPPLIER SPC · QMS
ROOT-CAUSE TRACE · 24 H WINDOW
CLUSTERING…
ASSEMBLING5 voice mentions → 3 systems → 1 root cause · ~6 sec
// 02Root-cause trace
The investigation that used to take a week.
Complaint cluster X traced to shift Y on line Z, running supplier W’s lot N, after the changeover at T+47. The agent builds the causal chain the engineer would assemble manually — but in seconds, with citations.
Fused: CUSTOMER VOICE · QMS · MES · ERP
SPINDLE 7 · TORQUE Nm · AGENT RECOMMENDATION
OBSERVING
// 03Closed-loop tuning
Engineer approves. Agent commits.
The agent recommends a parameter change with confidence, evidence, and predicted outcome. The engineer one-clicks → MES updated → next batch measured → loop closes. Optimization moves at the cadence of the production line, not the quarterly review.
Fused: VISION · MES · QMS · DIGITAL TWIN
Quarters → days. Sometimes days → hours. The engineer keeps the judgement; the agent does the assembly. A hundred hours back per month, per engineer.
D2C SIGNAL · CUSTOMER VOICE · THE DATA SOURCE THAT DIDN’T EXIST
D2C isn’t just a sales channel. It’s the data stream you’ve been missing.
For a century, manufacturers were blind to end-customer behaviour — distributors sat in between. Complaints got summarised once a quarter, if at all. R&D ran on warranty claims and focus groups. With D2C agents on voice, SMS, email, and chat — talking directly to the people using your product, every day — the data finally exists. Continuously. In the words your actual customer used.
Plant data
Vision · MES · Sensors
Already there
Supply data
Vendor SPC · Freight · Carrier APIs
Available with effort
Customer voice
D2C agents · Voice · SMS · Chat · Email
NEW — & continuous
Karmaflow
Product Intelligence Layer
One graph · one ledger · one cadence
PRODUCT INTELLIGENCE LAYER · LIVE
0 EVENTS IN FLIGHT
01
Defect early-warning
A handful of customers mention the same odd behaviour across 24 hours. The agent ties it to lot, line, and supplier — before a single formal complaint lands in QMS.
02
Spec-sheet refinement
Continuous sizing, fit, and use-case signal from real conversations. The product team sees the spec the customer actually expects, not the spec on the original drawing.
03
Product-roadmap signal
What customers ask for becomes a ranked feature backlog automatically — clustered, deduplicated, tied to revenue and to the SKUs already in the catalog.
04
Returns root-causing
Every return conversation is auto-categorized — fit, defect, expectation mismatch, shipping damage — and fed into QMS as a structured RCA candidate.
05
Brand-sentiment leading indicator
Aggregate customer voice as a daily index. Sentiment dipping on a specific SKU two weeks before warranty claims spike — that’s the lead time the agent gives you back.
Direct product intelligence — not survey-clean, not focus-group-filtered. The actual words your actual customer used yesterday — fed into the same loop that runs quality, yield, and the next release.
THE FUNDING MAP · SR&ED · NGEN · BDC · RTRI · BSP
What’s available today — and how AI deployments qualify.
The federal response to U.S. tariffs is now the largest support package Canadian manufacturing has seen in a generation. Most programs explicitly favour SMEs, productivity outcomes, and Canadian-built solutions. Many can be combined — and several apply directly to AI and automation deployments.
| Program | Envelope | Relevance to a productivity / AI project |
|---|---|---|
BDC Tariff Response LoanNew · May 4 2026 | $1BUp to $50M · 3-yr deferred | Available to manufacturers and exporters using steel, aluminum, or copper. Stated purpose includes “the tools they need to adapt, stay competitive and grow.” Productivity tooling is in scope. |
Regional Tariff Response Initiative$500M top-up · May 4 | $500M+$150M for steel | Delivered through FedDev Ontario, CED-Q, PrairiesCan, ACOA. Explicit purpose: “market diversification and enhanced productivity.” Software and integration costs typically eligible. |
Strategic Response Fund | $5B | For sectors hit by tariffs, with up to $3B carved out for automotive. Innovation projects that improve productivity are a defensible SRF narrative. |
NGen — Advanced Mfg ClusterPan-Canadian AI Strategy | $29.2M | Funds made-in-Canada AI deployments at manufacturer + Canadian tech-vendor pairs. New intake announced March 2026. |
Workforce Alliance + Reskilling | $382M / $450M | Reskilling for up to 50,000 workers. AI-fluency and operator-training curricula tied to a deployment can be partly subsidized — often overlooked. |
SR&ED | ~30–35% | If integration work is performed in-house — orchestration design, prompt engineering, ERP/MES wiring — portions are typically SR&ED-claimable. |
FedDev BSP / O-AMP / AMICOntario-specific | Up to $5M | O-AMP funds productivity in the auto supply chain. AMIC funds technology adoption for advanced manufacturing SMEs in Ontario. Both name “technology adoption” as eligible expense. |
Productivity Super-DeductionTax | Accelerated CCA | Spring 2026 update introduced an accelerated capital cost allowance. Software-as-a-service deployments demonstrating productivity gains qualify the buyer for accelerated deductions. |
In our experience, a typical AI agent deployment can recover 30 to 60 percent of total project cost through one or two of these programs. The full funding map, with eligibility notes and stacking rules, is in the brief.
Get the funding mapDEPLOYMENT · WHAT’S INCLUDED
A Canadian-built platform for multi-channel AI agents.
Karmaflow is a platform product, not a consulting engagement. Manufacturers use it to build and launch AI agents that work across voice, SMS, email and chat — built in Canada, hosted in Canada, designed to integrate with the systems already on your plant floor.
- Discovery & scopingWe map the workflows, channels, and existing systems before writing a line of agent logic.
- Custom agent designVoice, tone, escalation paths, and decision boundaries tuned to your operation.
- System integrationERP, MES, CMMS, QMS, WMS, TMS, HRIS, CRM, and custom APIs.
- Deployment in 4–6 weeksFor a typical first agent. Most manufacturers see value in the first month.
- Funding application supportWe help structure projects so they qualify under SR&ED, NGen, BSP, and the new tariff-response programs.
- Ongoing optimizationAgents improve from real-world conversations, not from rebuilds.
- Enterprise security controlsTenant isolation and field-level access scopes built in from day one.
- Canadian data residencyGoogle Cloud Montreal infrastructure. No cross-border data transfer required.
Sovereignty
Canadian data Canadian invoice
Procurement
Buy Canadian compliant
Time to value
4–6 weeks per agent
Funding fit
SR&ED · NGen BSP
A BRIEF FOR CANADIAN MANUFACTURERS · MAY 2026
The factory floor has AI. The front office doesn’t.
Six pages. The federal funding map. Twelve agent patterns we deploy on the plant floor. Sources from Canada.ca, McKinsey Operations Practice, Statistics Canada, and the PwC × Manufacturing Institute report.
Get the brief.
We’ll email you a copy and start the download right away. No drip campaign. Reply if you want to talk; ignore if you don’t.
We use your details to send the brief and follow up once · no list-sharing · unsubscribe any time
MANUFACTURING AI ALTERNATIVE · RPA · MES ADD-ON · INDUSTRIAL AI
How Karmaflow compares to the tools you already pay for.
RPA automates clicks. MES dashboards visualise the floor. Industrial AI vendors live inside the equipment. Karmaflow runs the front-office workflows that wrap around all of them — and writes back into your systems of record. Designed to coexist with the stack you’ve built.
| Capability | Karmaflow | RPA suites | MES / ERP add-ons | Generic chatbots | Industrial AI vendors |
|---|---|---|---|---|---|
| Voice, SMS, email, and chat as one identitySame agent, same memory, same audit trail across every channel a manufacturer actually uses. | Native capability | Not a marketed capability | Not a marketed capability | Partial or workflow-style coverage | Not a marketed capability |
| Reads from and writes back into ERP / MES / WMS / TMSAgents close the loop into systems of record — file the work order, update the schedule, mark the carrier in. | Native capability | Partial or workflow-style coverage | Native capability | Not a marketed capability | Partial or workflow-style coverage |
| Runs front-office workflows (supplier scramble, RFQ, freight check-in)The work that lives on phone calls, voicemails, and email threads — not on a SCADA dashboard. | Native capability | Partial or workflow-style coverage | Not a marketed capability | Partial or workflow-style coverage | Not a marketed capability |
| Canadian data residency on Canadian cloudGoogle Cloud Montreal. No cross-border data transfer required. | Native capability | Partial or workflow-style coverage | Partial or workflow-style coverage | Not a marketed capability | Not a marketed capability |
| Buy-Canadian procurement compliantCanadian-built, Canadian-invoiced. Defensible under federal procurement rules. | Native capability | Not a marketed capability | Not a marketed capability | Not a marketed capability | Not a marketed capability |
| Funding-stack design (SR&ED, NGen, BDC, RTRI)Project scoped so 30–60% of cost is typically recoverable through one or two programs. | Native capability | Not a marketed capability | Not a marketed capability | Not a marketed capability | Partial or workflow-style coverage |
| Risk-tier guardrails with identity-locked actionsLow-risk auto-execute, medium-risk soft-approve, high-risk hard-stop until human confirms. | Native capability | Partial or workflow-style coverage | Partial or workflow-style coverage | Not a marketed capability | Partial or workflow-style coverage |
| Unified Action Ledger for every agent decisionOne reviewable audit trail per action — what, why, what data, what permission, what outcome. | Native capability | Partial or workflow-style coverage | Not a marketed capability | Not a marketed capability | Partial or workflow-style coverage |
| Deployed in 4–6 weeks, not 18 monthsPhased rollout; first agent live in weeks while deeper integrations proceed in parallel. | Native capability | Partial or workflow-style coverage | Not a marketed capability | Partial or workflow-style coverage | Not a marketed capability |
Comparison reflects publicly available product documentation and marketed capabilities as of 2026. RPA suites, MES dashboards, and industrial AI platforms remain valuable — Karmaflow operates above them, reading from and writing to the systems your team already uses.
AI AGENT FAQ · FUNDING · DEPLOYMENT · SECURITY
What manufacturers ask before they deploy.
Often, yes — for the portion of work that involves experimentation: agent design, orchestration logic, prompt engineering, ERP/MES/CMMS wiring, and edge-case handling. The SaaS subscription itself is not SR&ED-eligible, but the technical integration effort typically is.
We help structure the project so the SR&ED-claimable scope is documented from day one, alongside any complementary programs (NGen, BDC tariff response, RTRI, BSP/O-AMP/AMIC).
Yes. Karmaflow runs on Google Cloud Montreal. No cross-border data transfer required. That includes conversation transcripts, agent memory, the Unified Action Ledger, and any integration cache.
For deployments that need it, we can scope additional residency controls (in-province storage, customer-managed keys) under enterprise terms.
That’s the common case. Karmaflow works with what you have. ERP + spreadsheets + email inboxes is enough to deploy several of the twelve agents — order-status concierge, RFQ first-touch, AR collection, freight check-in, supplier scramble.
For systems without good APIs, our Human Interface lets agents drive the UI the way a human team would. No integration build required for the long tail of legacy dashboards.
No. They handle the work that nobody had time for in the first place — the 11 p.m. where-is-my-order call, the supplier follow-up that fell through the cracks, the near-miss report that never got filed because the form was on a laptop. The work that fills queues nobody cleared.
The Workforce Alliance and Work-Sharing Top-Up programs exist precisely to fund deployments designed to retrain rather than replace. We scope to those program criteria when relevant.
Phase one — first agent live, handling a real channel — typically 4 to 6 weeks.
Phase two — deeper agents with cross-system integrations — typically 6 to 12 weeks after the first agent goes live.
We commit to honest ranges. If a custom integration into a legacy on-prem system needs more time, we say so up front.
Pricing is usage-based — conversation minutes, model tokens, executed actions — with platform fees that scale with deployment size. We don’t share generic pricing decks because every plant is different.
In our experience, 30 to 60 percent of total project cost is recoverable through one or two of the federal programs above. We help structure the funding stack as part of scoping.
Enterprise security controls with tenant isolation, field-level access scopes, and PII redaction. Every action is logged in the Unified Action Ledger and reviewable on demand.
Identity-locked sensitive actions: low-risk auto-execute under guardrails, medium-risk soft-approve, high-risk hard-stop until a human confirms.
Every action is bound to a scoped permission with risk-tier guardrails. Low-risk actions auto-execute. Medium-risk actions soft-approve. High-risk actions hard-stop until a human confirms.
Every action is logged and reversible where reversal is technically possible. Mistakes are corrected, the correction feeds back into the platform’s learning signal, and the same mistake doesn’t repeat.
PLATFORM GLOSSARY · DEFINED TERMS
The vocabulary of the operating layer.
Proprietary concepts you’ll encounter across the Karmaflow platform — defined plainly, so operations, IT, and finance teams reason from the same definitions.
- Front-Office Layer
- The operating layer that wraps around the factory floor — the phone calls, supplier check-ins, RFQs, shift swaps, complaint intake, and freight coordination that historically ran on voice, SMS, and email. Where Karmaflow agents live.
- Channel-Native Agent
- An AI agent designed to work natively on voice, SMS, email, or chat — not a chatbot that has been retrofitted to phone calls. Same agent, same memory, same audit trail across every channel a manufacturer’s counterparts actually use.
- Living Intelligence Layer
- Karmaflow’s reasoning engine and native graph data store. Every agent reads from and writes to the same connected representation of suppliers, orders, work orders, complaints, and outcomes — so context compounds across interactions instead of resetting per session.
- Account Graph
- The connected representation of an external account (supplier, customer, carrier) inside the Living Intelligence Layer — contacts, order history, payment status, complaint history, and the relationships between them. Agents reason over the graph before acting.
- Cross-Encounter Memory
- Pattern recognition that operates across multiple conversations, channels, and time windows. Where a typical IVR forgets after a call, Karmaflow agents recognise a Tuesday supplier voicemail as related to a CAPA filed last quarter and a complaint logged in QMS yesterday.
- Unified Action Ledger
- A reviewable audit trail for every agent decision and action. Each entry records what the agent did, the reasoning chain, the data it consulted, the permission scope it used, and the outcome. Operations, compliance, and security teams read from the same ledger.
- Human Interface
- Karmaflow’s mechanism for operating software that does not expose a good API or MCP server. Agents drive the UI the way a human team would — clicking, typing, navigating menus — letting them work the long tail of legacy CMMS, on-prem ERP, and one-off plant systems.
- Risk-Tier Guardrails
- Identity-locked, scoped permissions applied to every agent action. Low-risk actions (looking up an order, confirming a freight window) auto-execute. Medium-risk actions soft-approve with notification. High-risk actions (releasing a hold, paying an invoice) hard-stop until a human confirms.
- Reasoning Trace
- The citation chain behind any agent output — the records read, the graph nodes consulted, the prior tickets matched, and the decision path. Surfaced in-line for review and stored in the Unified Action Ledger.
- Autonomous AI Workforce
- Karmaflow’s framing for a configurable team of AI agents that operate front-office work across the plant, the supply chain, and the customer — as one continuous reasoning system, not a collection of single-purpose bots.
SUB-INDUSTRY · AUTO · AEROSPACE · METALS · FOOD · ELECTRONICS · 3PL
Find the shape of your operation.
Discrete · Automotive
Auto & supplier-tier OEMs
Supplier scramble when Tier-2 misses, RFQ first-touch for tooling and harness work, freight check-in across JIT routes.
Discrete · Aerospace
Aerospace & defence
AS9100 complaint intake into your QMS, controlled-goods-aware policies, document-grounded supplier comms.
Process · Food & Beverage
Food & beverage
Customer complaint intake into FSMA CAPA, supplier traceability follow-up, AR dunning across regional accounts.
Process · Metals
Steel, aluminum & metals
BDC tariff-response-eligible. Tariff & policy watch, freight orchestration for heavy haul, AR collection across long terms.
Discrete · Electronics
Electronics & EMS
RFQ first-touch with BOM parsing, supplier scramble across component shortages, near-miss hotline for line operators.
Logistics · 3PL
Distribution & 3PL
Freight check-in across docks, order-status concierge for shippers, AR collection across multi-party accounts.
Diversification · DTC
Manufacturer-DTC brands
Launch direct-to-consumer without a 20-person CX team. Inbound sales, sizing, returns, warranty — voice, SMS, and chat agents on day one.
A 30-minute conversation. No slides. No commitment.
The fastest way to know whether an AI agent fits your operation is to walk through one specific workflow together — the one that costs you the most time today — and see, concretely, how it would work as an agent.
01
Bring a workflow
Pick the most repetitive, time-consuming process in your operation — supplier check-ins, RFQ intake, freight calls, shift swaps.
02
We map it together
30 minutes. No slides. We sketch the agent, the integrations, and the channels — live, on the call.
03
You decide
You leave with a one-page scope, a budget range, and a funding-stack recommendation. If the fit isn’t there, we tell you.
Canadian-built · Canadian-hosted · SR&ED · NGen · BDC funding-fit