Custom AI agents wired into the work your team actually does.
Not a chatbot bolted to a homepage — retrieval-grounded agents and copilots connected to your data, your tools and your approval rules.
Agents that are accountable
We design AI systems the way we design software: with defined inputs, evaluated outputs and a clear escalation path to a human. That means grounded retrieval over your own knowledge base, tool calls that are permissioned and logged, evaluation suites that catch regressions, and guardrails that stop the agent inventing answers it should not give.
- Retrieval-augmented answers grounded in your documents
- Permissioned tool use with full audit logging
- Evaluation suites and regression testing before launch
- Human escalation and confidence thresholds built in
How we deliver
Use-case audit
We map the workflows where an agent creates measurable value — and where it should not be used.
Data & knowledge
Sources connected, cleaned, chunked and indexed for reliable retrieval.
Agent design
Prompts, tools, routing, memory and guardrails specified as a system.
Evaluation
Golden datasets and automated scoring before anything faces a customer.
Integration
Deployed into your product, helpdesk, CRM or internal tooling.
Monitor & tune
Live analytics, cost controls and continuous improvement cycles.
What's included
Support copilots
Agents that resolve tier-one volume and hand off cleanly when unsure.
Internal knowledge agents
Answers grounded in your wiki, policies, contracts and tickets.
Sales & research agents
Enrichment, qualification and briefing work done before your team logs in.
RAG pipelines
Ingestion, embedding, reranking and freshness handled end to end.
Tool & workflow calling
Agents that safely act in your systems, not just talk about them.
Guardrails & evals
Safety filters, confidence gates and continuous quality scoring.
Deliverables
- Use-case and ROI assessment
- Production agent deployed in your environment
- Knowledge ingestion and retrieval pipeline
- Evaluation suite and quality dashboard
- Cost, usage and escalation monitoring
- Team training and operating documentation
Technologies
Custom solution, quoted to your workflow
AI agent work does not fit a fixed price list. Cost depends on the number of workflows, the state of your data, the systems the agent must act in and the compliance bar it has to clear. We scope it properly, then quote once — no open-ended hourly billing.
- Free 45-minute use-case and feasibility session
- Fixed-price discovery with a written ROI model
- Phased delivery — pilot first, scale once it proves out
- Transparent model and infrastructure cost forecasting
- Ongoing tuning retainer available after launch
AI Agent FAQs
Will the agent make things up?
We ground responses in your own content and add confidence thresholds, so the agent escalates to a human instead of guessing. Every answer is traceable to a source.
Where does our data live?
In your infrastructure or a region you nominate. We can run with zero-retention model settings and full audit logging for compliance requirements.
How long until it is live?
A useful pilot typically runs in four to six weeks. Full production rollout with integrations and evaluation usually lands between eight and twelve.
What does it cost to run?
We forecast model and infrastructure cost per conversation during discovery, and build caps and routing so spend stays predictable.
Related services
Find out whether an agent is worth building.
Book a free feasibility session. If the numbers don't work, we'll tell you that instead of selling you a pilot.