AI Agents & Automation
Custom AI agents that reason over your data, take action across your tools and stay accountable — with the guardrails and evaluation enterprises require.
What's included
- ✓Discovery & use-case design
We identify the highest-impact agent, define success metrics and scope integrations.
- ✓Retrieval & knowledge grounding
RAG pipelines over your documents and data, with citations and access controls.
- ✓Tools & actions
Secure tool-calling so the agent can act — update records, trigger workflows, fetch data.
- ✓Evaluation & guardrails
Test suites, monitoring and safety rails so quality holds up in production.
- ✓Deployment & support
Rollout on your cloud with observability, plus ongoing tuning as usage grows.
How we deliver
Discover
Scope the use case, data and success metrics.
Build
Retrieval, tools and agent logic in reviewable sprints.
Evaluate
Test, harden and add guardrails for production.
Deploy
Ship on your cloud with monitoring built in.
Improve
Tune and expand as real usage grows.
Common questions
How long does an AI agent project take?
A focused pilot typically takes 3–6 weeks; production rollouts depend on scope and integrations. We define timelines during discovery.
Is our data secure?
Yes. We design with least-privilege access, keep your data in your environment where required, and support private model deployments.
Which models do you use?
We select the best fit per task — OpenAI, Anthropic Claude or Google Gemini — and can combine them with retrieval and tools.
Let's design your first agent
Book a free consultation and we'll pinpoint the use case with the fastest, clearest return.
Book Free AI Consultation →