Karmaflow is one platform for deploying AI agents that reason — across every channel, every system, and every level of authority your business requires. Your domain experts configure them. The platform makes them safe.
Domain experts configure the role, the voice, the escalation rules, the tools, and the access scopes — then ship to production with one click. Every change is versioned, audited, and reversible.
Each surface ships with the right protocols — telephony, deliverability, channel handoff — already wired up.
Most agent platforms treat voice, chat, SMS, email, and web as separate sessions with separate state. Karmaflow treats them as surfaces of the same conversation. An agent on a live call can text a diagram, receive a photo of a damaged part, email a contract, and confirm a tokenised payment link — all in-session, all governed, all audited.
The model is only half the story. The platform engineers the thinking around it — the discipline, the guardrails, the instinct to act — so every agent performs like your most seasoned employee, regardless of which model powers it underneath.
Choose from the leading reasoning models on the market. Hosting, routing, failover, and optimization are handled natively. Zero infrastructure on your side.
Fine-tuned, sovereign, or a preferred provider? Plug it in. Agents inherit the full intelligence layer regardless of the engine underneath — same discipline, same guardrails, same memory, same ledger.
A raw model will answer anything, drift anywhere, and forget what it just said. The platform doesn’t ship raw models. Every agent operates inside a framework that holds the line on brand, voice, and judgment — no matter the role, no matter the conversation.
Agents act like employees, not chatbots. Off-topic requests get redirected naturally — no scripted refusals, no awkward dead-ends.
Voice, tone, and persona stay consistent across every call, every channel. Prompt injection attempts get politely redirected, never obeyed.
When intent is clear, agents act. They don’t ask permission to do the obvious. Every turn moves toward an outcome — booking, follow-up, resolution.
Corrects itself in real time. Won’t re-ask what was already answered. Won’t repeat a mistake it made two turns ago.
Adjusts pacing for urgency, frustration, or confusion. Slows down when the customer is processing. Accelerates when they’re in a hurry.
Sensitive data is never requested, stored, or repeated. Verification protocols scale to the situation. Hard limits sit above everything else.
All of this is on by default. Any element can be relaxed or disabled on request — but you’ll have to ask.
The platform’s reasoning architecture — the Living Intelligence Layer — pairs an internal Plan → Act → Reflect loop that structures tasks, verifies results, self-corrects, and accrues memory, with an external Announce → Act → Confirm loop that keeps humans informed and seeks approval where required.
Structures the task, verifies results, self-corrects, and writes to memory — so each session compounds the next.
Keeps humans informed in real time and seeks approval where required by policy or regulation.
Two memory tiers, one for the customer, one for the enterprise. Every conversation can sharpen the next — across channels, across sessions, across the full lifetime of the relationship.
When Cross-Session Memory is enabled, every agent recognizes returning customers and threads context across sessions. Every interaction draws on the full history of the relationship — across every channel, across every prior session.
A knowledge graph and graph data science layer that turns Karmaflow from a workforce of agents into a learning organization. Every conversation writes back. Every analytical agent reads from one consolidated source of truth. Every audit reasons against the full history.
Most workflow builders model the world deterministically: when X, do Y. Karmaflow models it as reasoned: an agent that thinks through X, with the authority to do Y, escalating Z when judgement calls for it.
Triggers, conditions, branches. The world is small enough to enumerate, until it isn't. Edge cases pile up. Workflows that matter most never close.
Triggers stay simple at the edges — a CRM event, a document upload, a KPI threshold. The work between them is non-deterministic reasoning, governed end-to-end.
Knowledge work happens in email threads, calendars, documents, chat platforms, CRMs, ERPs, and the legacy applications that never moved to APIs. Karmaflow reaches all of them under a single governance model — explore agent integrations.
Agents draft and send mail with consent enforcement, schedule across calendars, read and write documents with full provenance, query spreadsheets as structured data, and operate inside Teams as first-class participants.
CRMs, ERPs, line-of-business applications, proprietary databases — exposed as governed agent tools with per-agent scopes, field-level redaction, HMAC-signed webhooks, and audit logging on every call.
Where no integration exists — legacy ERPs, vendor portals, desktop-only clinical or financial tools, internal apps that predate modern integration — Karmaflow agents operate the application directly.
Agents run the core process end-to-end. Humans operate at two levels — both intentional, both governed.
AI operations leads, governance specialists, and domain experts who design agent reasoning, curate knowledge, set policy, calibrate thresholds, and red-team the system. They shape the workforce; they do not run transactions through it. This is where authority and accountability live.
Actions that exceed agent authority. Brand moments that policy reserves for a person. Regulated decisions that require a named human actor. Customer requests for a person. Not as fallback. As architecture.
Karmaflow treats governance as platform infrastructure, not a compliance overlay — read the full enterprise security posture. Five pillars cover the surface buyers ask about.
Every conversation turn, tool call, document exchanged, approval granted, human intervention, and policy change is written once, immutably, with full context — actor, intent, evidence, outcome, timestamp, policy context. One queryable, exportable, tenant-scoped record.
Step-up verification and policy gates before sensitive actions execute — monetary transfers, PII exchanges, regulated disclosures. Enforced at the platform level, not via prompt instruction.
AES-256 at rest and in transit. Per-tenant isolation enforced at the data plane. Mutual TLS optional. Network segmentation, WAF, least-privilege IAM, signed artefacts, rotated keys.
Third-party-audited security controls in progress. HIPAA support with BAAs and PHI handling. GDPR + PIPEDA subject-rights workflows. CASL, CAN-SPAM, TCPA channel compliance — enforced per jurisdiction.
Stable identifier, named role, tenant-scoped credential, configured authority per channel and workflow. Drift monitored continuously. Scope enforced at the platform. Agents do not share identity.
| ts | actor | intent | evidence | outcome | policy |
|---|---|---|---|---|---|
| 18:02:14 | agent.svc-claims-01 | open(MERIDIAN-CLAIMS) | session#sess_8f24c1 | ok | scope · claims.read |
| 18:02:18 | agent.svc-claims-01 | input(policy_no) | POL-41872-C | ok | scope · claims.write |
| 18:02:31 | agent.svc-claims-01 | input(amount=1840) | quote · q_19287 | ok · auto | thresh · auto < $2,500 |
| 18:02:37 | agent.svc-claims-01 | submit(claim) | CLM-2298471 | ok | identity-lock · n/a |
| 18:04:02 | agent.svc-claims-01 | refund(amount=4900) | req#r_8810 | → approval | thresh · > $2,500 |
| 18:04:14 | human.j.alvarez | approve(refund) | id-lock · webauthn | ok | actor · named |
Cloud, hybrid, sovereign, or fully on-premises — same agents, same governance, same ledger. Data residency configurable per category, per jurisdiction.
Architects configure the workforce through concrete control surfaces, not convention. All of the following are set above the loop and visible in real time.
Common questions about how the platform reasons, governs, integrates, and stays safe in regulated industries.
The fastest way to evaluate Karmaflow is to watch it work in production. We'll arrange a live walkthrough on a deployed tenant — real conversations, real ledger entries, real escalations — with one of our architects.
