AI Solutions
AI Agents & Copilots
The challenge
Teams lose hours to repetitive, judgement-light work spread across many systems. AI agents can plan and execute these tasks, but only if they are given the right tools, clear boundaries and a way for people to stay in control.
Capabilities
What we deliver
Tool and API integration
Secure connections to CRMs, ERPs, ticketing, email and internal APIs with least-privilege credentials for each agent.
Workflow orchestration
Planning, memory and multi-agent patterns designed around your process rather than a generic framework demo.
Guardrails and approvals
Policy checks, spending limits, sensitive-data filters and human-in-the-loop approval for consequential actions.
Embedded copilots
Assistants inside the applications your teams already use, so adoption does not depend on a new tool.
Typical deliverables
- Production agent with defined tools and permissions
- Approval workflow and audit logging
- Evaluation scenarios covering edge cases and failure modes
- Monitoring dashboard for cost, latency and outcomes
Technologies we use
- Model Context Protocol
- LangGraph
- OpenAI
- Anthropic Claude
- Temporal
- TypeScript
Relevant industries
AI Agents & Copilots: common questions
What stops an agent from taking the wrong action?
Each agent receives only the permissions it needs, runs behind policy checks, and must obtain human approval for actions you classify as sensitive. Every step is logged.
Which model do you use?
We select models per task based on evaluated quality, latency, cost and data-residency requirements, and design systems so models can be swapped later.
Talk to us about AI Agents & Copilots
Share your goals and constraints. We'll reply within one business day with practical next steps.