AI Services
AI Agent Development
Agentic AI that gets work done — goal-driven agents that plan, call tools and complete multi-step workflows across your systems, with tracing and human-in-the-loop control.
- Multi-step
- Workflows automated
- Tools
- Connected to your stack
- Trace
- Every action logged
- HITL
- Human-in-the-loop
Overview
Agents that act, safely
An AI agent is a model that can take actions — call tools, query data and make decisions toward a goal — not just generate text. The value is in everything around the model: orchestration, guardrails, memory and observability.
We build agents that automate real, multi-step work: research and synthesis, operations, support resolution and back-office tasks. Each one is traceable, reversible where it matters, and keeps a human in the loop for high-stakes steps.
[1]Workflow agents
Automate multi-step processes that span several tools and systems.
[2]Research agents
Gather, synthesise and cite across large knowledge bases.
[3]Ops & back-office
Triage, route and complete repetitive operational tasks.
[4]Multi-agent systems
Coordinated specialist agents with a planner and verifiers.
[5]Tool & API integration
Secure, permissioned access to your apps, data and actions.
[6]Guardrails & tracing
Approvals, limits and full action logs for trust and audit.
How we deliver
How we build agents
- 01
Map
Break the workflow into steps, tools and decision points.
- 02
Build
Orchestrate planning, tool calls and memory.
- 03
Guardrail
Add approvals, limits, tracing and fallbacks.
- 04
Operate
Deploy with monitoring and continuous evaluation.
Tools & technologies
The technologies we build with.
A pragmatic, best-of-breed stack — chosen for accuracy, cost, security and scale.
Why CodeGenIT
Agents you can trust with real work
Observable
Every plan and action is traced and reviewable.
Permissioned
Least-privilege tool access with approvals where it counts.
Reliable
Verifiers and retries keep agents on track.
Outcome-driven
Measured on tasks completed, not tokens spent.
Client voices
Trusted to deliver outcomes.
CodeGenIT turned a months-long AI ambition into a shipped, audited system our risk team actually trusts.
The new storefront is the fastest we've ever had — and conversion jumped the week we launched.
Proof
Outcomes we’ve shipped.
FAQ
Questions, answered.
Can’t find what you need? Our team is happy to talk specifics.
What is AI agent development?+
AI agent development is building software agents powered by large language models that can reason, use tools and take actions to complete multi-step tasks — for example retrieving data, calling APIs and updating systems — with guardrails and human oversight.
Are autonomous agents safe to put in production?+
With the right guardrails, yes. We use least-privilege tools, approvals for high-stakes actions, limits and full tracing so agents are controllable and auditable.
What workflows are a good fit?+
Multi-step tasks that span tools — research, triage, ops and support resolution — where rules-based automation is too brittle.
Can a human stay in control?+
Yes. We design human-in-the-loop checkpoints so people approve or correct critical steps.
How do you stop an agent going off the rails?+
Verifiers, step limits, scoped tools and tracing catch and contain errors before they cause harm.
Explore related
Automate real work with AI agents
Let's identify a workflow worth automating and build an agent that handles it.