Enterprise Knowledge Agents
Agents that retrieve, reason, and respond using governed internal knowledge sources.
SOLUTION
Design, deploy, and govern AI agents that work inside real enterprise workflows.
Captivolt builds AI agents that reason over enterprise knowledge, call approved tools, follow workflow rules, escalate to humans, and generate evidence for monitoring and governance.
Agent families
The agents enterprises actually deploy.
Each family is a role, not a chatbot — scoped to a workflow, a set of approved tools, and a defined escalation path.
Workflow Automation Agents
Agents that execute multi-step enterprise workflows with approvals and system integration.
Compliance & Evidence Agents
Agents that collect, summarise, and organise compliance evidence for governance and audit workflows.
Engineering Productivity Agents
Agents that support requirements, code analysis, test generation, defect triage, and release readiness.
Quality Engineering Agents
Agents that generate tests, analyse coverage, support regression, and improve release confidence.
Customer Operations Agents
Agents that support service teams with knowledge retrieval, triage, summarisation, and next-best action.
Executive Intelligence Agents
Agents that summarise business performance, risk signals, programme progress, and decision options.
Lifecycle
How an agent gets to production.
Discovery through operation — with evaluation and approvals designed in, not retrofitted.
Discover workflow
Design agent role
Connect tools & knowledge
Add human approvals
Evaluate behaviour
Deploy securely
Monitor & improve
Architecture & operating model
The pieces that must exist.
Reference architecture
- Knowledge source
- Permission layer
- Tool / API registry
- Agent orchestration
- Human approval
- Evaluation harness
- Audit log
- Monitoring dashboard
Operating model
- Agent owner
- Approved tools
- Approved data sources
- Escalation rules
- Evaluation threshold
- Audit evidence
- Monitoring owner
- Incident response
Engagement packages
Ways to start.
Scoped entry points, each ending in something you can act on.
2-week workflow discovery
Map the workflow, systems, data, and decision points an agent must respect.
4-week agent design sprint
Design the agent role, tools, approvals, evaluation plan, and reference architecture.
8–12 week production pilot
Build, evaluate, and deploy the agent into a governed production workflow.
Ongoing AgentOps & evaluation
Monitor behaviour, run evaluations, and improve the agent in operation.
What makes this different
Non-negotiables in our builds.
- Tool use with guardrails
- Permission-aware knowledge access
- Human-in-the-loop controls
- Evaluation before release
- Governance and auditability
- Observability after deployment
Discuss an Enterprise AI Agent.
Tell us the workflow, the systems, and the constraints — we will come back with a focused next step.