Applied AI
AI Agents & Agentic Workflows
Overview
Agents are software that takes actions. We build them like any other production system: typed interfaces, tests, observability and named owners — plus the evaluation and approval gates that make them safe to trust.
Outcomes we measure
- Cases completed without rework
- Time from request to resolution
- Exceptions routed to the right human
- Cost and latency per run within budget
Problems we solve
Sound familiar?
- 01
A promising demo never made it to production because nobody could prove it was safe.
- 02
Staff spend hours copying data between systems and reconciling the results.
- 03
Previous chatbot projects answered questions but could not actually do anything.
- 04
Risk and compliance teams cannot see what an AI system did, or why.
What we deliver
Concrete deliverables, not slideware.
Agent and workflow design
Task decomposition, tool contracts, model routing and the human gates your process needs.
Tools and MCP servers
Typed, permission-scoped tools over your ERP, CRM, data warehouse and documents.
Evaluation and red-teaming
Golden sets built with domain experts, regression in CI, and prompt-injection testing.
Tracing and operations
Run traces, replay, drift monitoring, reviewer queues and cost budgets.
How it works
From first call to production.
- 01
Pick the workflow
Map one workflow, its systems, its risks and the moments a human must decide.
1–2 weeks
- 02
Pilot
Build the agent on your real data in a contained environment, with agreed acceptance criteria.
6 weeks
- 03
Assure
Evaluation, red-teaming and approval-gate tuning before any production writes.
2–4 weeks
- 04
Operate and expand
Monitor, improve and extend to adjacent workflows.
Ongoing
Tech & frameworks
Tools we use — in your stack.
- Claude
- GPT
- Gemini
- Llama
- Model Context Protocol
- LangGraph
- OpenTelemetry
- pgvector
- Azure AI Foundry
- Amazon Bedrock
- Vertex AI
Related projects
Where we've done this.
Case studies
Case studies for this service are being prepared. Ask us for references on a call.
FAQ
Frequently asked questions
Applied AI
Related services
LLM Applications & RAG
Grounded assistants over your documents and data, with permissions and checkable citations.
Machine Learning
Forecasting, classification and recommendation models taken all the way to monitored production.
Scope it with a senior practitioner
Book a 45-minute readiness call.
Where you are, what to fix first, and what it would take.