About CrewTAC
We build AI agents the way we'd build any production system.
CrewTAC AI Products is a suite of six business agents on one shared platform — API-first, multi-tenant, connector-ready and auditable from day one.
Approach
Business-first AI, not generic chatbots.
Each product starts from a workflow that already exists inside a company — inbound leads, support questions, document intake, operational requests, CRM hygiene, legacy risk — and automates the parts that are repetitive, while keeping a person in the loop where the stakes justify it.
The six agents are independent products, but they are not six separate builds. They share one orchestrator, one policy engine, one tool layer and one observability stack — which is why a new client integration is usually a connector and configuration rather than a new system.
6
Agents in the suite
9
Steps in the integration process
/v1
Versioned API on every agent
CrewTAC AI Products — a suite of intelligent business agents built on a common, integration-ready platform.
Engineering principles
How we decide what the agent is allowed to do.
These constraints are the reason the same core survives contact with different clients.
Scope to an outcome
An agent earns its place by completing a task a person used to do, not by producing plausible text.
Deterministic where it matters
Rules, permissions and validation stay deterministic. The model handles interpretation, not authority.
Humans keep the last word
Any step that changes a system of record can be configured to require an approval before it runs.
Everything is traceable
Inputs, decisions, tool calls and outcomes carry correlation IDs so an answer can be reconstructed later.
Adapters, not forks
Client-specific work lives in connectors and configuration so the reusable core stays one codebase.
Evaluate before shipping
Golden cases, authorization tests and approval-gate tests run against prompt and model changes.
Delivery capability
From a demo on synthetic data to a monitored production integration.
Every engagement moves through the same three labels, and we say plainly which one you are looking at.
Mock connectors and synthetic data. Shows the agent's reasoning, tools and audit trail end to end.
Sandbox or controlled client data with approval gates enabled and evaluation running.
Environment-specific configuration, live connectors, monitoring and business KPI tracking.
Portfolio builds and demos use synthetic or public data only. Delivery stages are labelled Demo, Pilot and Production Integration — we do not claim regulatory certification unless it has actually been validated for a specific engagement.
Why CrewTAC AI Products
What clients get on top of the agent itself.
Business-first AI
Agents are scoped to business outcomes and measurable tasks rather than shipped as generic chatbots.
API-first architecture
Every capability is reachable over a documented /v1 REST contract, so agents fit inside systems you already run.
Human approval gates
High-impact actions are configurable to require a person before anything is written to a system of record.
Multi-tenant foundation
Tenant isolation and RBAC are part of the core, so the same build adapts to each client without a rewrite.
Reusable connectors
CRM, ticketing, email, calendar, storage and generic REST adapters cut the integration effort on every engagement.
Auditable workflows
Logs, events and external IDs make every decision and side effect traceable after the fact.
Next step
Talk to CrewTAC.
Bring a workflow, a system and a success criterion. We'll tell you whether an agent is the right answer — and what it would take to get there.
Or email sales@crewtac.com