AI Agent Development: AI agents that do real work inside your business
Purpose-built AI agents grounded in your data and connected to your tools, with clear limits and human hand-over where it matters.
AI Agent Development
Problems we solve
Repetitive knowledge work
Skilled staff spend hours on tasks that follow predictable patterns.
After-hours gaps
Requests wait overnight or over the weekend for a first response.
Generic chatbots disappoint
Scripted bots frustrate customers with irrelevant answers.
Fear of AI mistakes
Concern that AI will give wrong answers with no oversight.
How we solve it
What’s included
Task-specific design
Each agent is scoped to a clear, measurable job.
Grounded answers
Responses drawn from your approved documents and data.
Tool connections
Controlled access to CRM, calendar, email, and databases.
Human hand-over
Escalation rules for sensitive or uncertain cases.
Conversation logs
Every interaction reviewable for quality and improvement.
What you get
Always-on capacity
Routine work handled around the clock.
Consistent quality
The same accurate answer every time.
Staff freed up
People focus on work that needs judgement.
How the work runs
Define the job
Pick the task, success measure, and boundaries.
Connect knowledge
Load approved content and link required systems.
Pilot & review
Run with real traffic and review conversations.
Scale & monitor
Expand scope and keep monitoring quality.
Technologies we use
Pricing
Project-based
Custom Quote
Quoted per agent after scoping the task, knowledge sources, and integrations. Model usage costs are billed at provider rates.
- Task and boundary definition
- Knowledge base setup
- System integrations
- Hand-over and escalation rules
- Pilot with conversation review
- Monitoring dashboard
AI Agent Development: frequently asked questions
What is the difference between an AI agent and a chatbot?
A traditional chatbot follows fixed scripts. An AI agent understands free-form requests, retrieves relevant information, and can take defined actions in your systems.
How do you stop the agent giving wrong answers?
By grounding it in approved content, limiting its scope, setting hand-over rules when it is uncertain, and reviewing conversations during the pilot.
What does it cost to run?
Running costs depend on usage volume and the model chosen. We estimate this during scoping so there are no surprises.
Industries we build this for
Part of these solutions
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Read more →Ready to start your ai agent development project?
Tell us what you are trying to build. We will tell you honestly whether it is a fit, and what it would take.
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