AI agents that answer, decide and act
We build assistants that answer from your own knowledge and agents that complete tasks in your systems, with guardrails and human approval where it matters.
- Typical first release
- 4–8 weeks
- Hosting
- Your cloud or ours
- Models
- Claude, GPT, Gemini, open source
- Channels
- Web, Teams, Slack, phone
AI Agent Development & Custom AI Assistants
An AI agent is software that understands a request in plain language, looks up the right information and carries out the next step. A support agent can read a ticket, check the order in your ERP and draft the reply. An internal assistant can answer policy questions with a link to the source.
We design the agent around one measurable job, connect it to your data with retrieval-augmented generation (RAG), and add the controls an enterprise needs: permissions, logging, evaluation and a clear hand-off to people.
What we deliver
Choose the parts you need. We can deliver a complete solution or work alongside your own team.
Knowledge assistants
Chat over manuals, policies, contracts and wikis, with citations so users can check every answer.
Customer support agents
Agents that resolve common tickets, update CRM records and escalate the rest with a summary.
Task agents
Agents that call your APIs to create orders, book appointments or update records, with approval steps.
Voice & chat channels
Deploy on your website, Microsoft Teams, Slack, WhatsApp or the phone.
Evaluation & guardrails
Test sets, accuracy tracking, PII redaction and topic limits before and after launch.
Agent operations
Monitoring, cost tracking and continuous improvement once the agent is live.
Where it pays off
Examples of where companies put AI agents & assistants to work today.
- Customer serviceResolve order-status and returns questions automatically, 24/7.
- Internal helpdeskAnswer IT and HR questions from your handbook with source links.
- SalesQualify inbound leads and prepare meeting briefs from CRM data.
- ProcurementCompare supplier offers and flag contract risks.
How a project runs
Working software at every checkpoint, so you can decide with real results in hand.
Discover
We map the process, the data and the success metric, and agree on what to build first.
Prototype
A working prototype on your real data that proves the idea before larger spend.
Build
Production code with a demo at the end of every sprint.
Integrate
Connections to your business systems, plus security review and user testing.
Operate
Monitoring, model evaluation and support, so quality holds up after launch.
Common questions
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent can also take actions, such as looking up an order, updating a record or sending an email, using tools you give it access to.
Can the AI use our internal documents securely?
Yes. We use retrieval-augmented generation, so documents stay in your storage and the agent only sees what the user is allowed to see. Your data is not used to train public models.
Which AI model do you use?
We choose per project based on accuracy, cost and data-protection needs. We work with Claude, GPT, Gemini and open-source models that can run in your own cloud.
How do you prevent wrong answers?
We build a test set from real questions, measure accuracy before launch, require citations, and route uncertain cases to a person.
Often combined with
Ready to talk about AI agents & assistants?
Tell us about your process. We reply within one business day with first ideas and a proposed next step.