AI agents
Tool-using AI agents that take multi-step actions in your systems — with scoped permissions, approvals and full audit trails.
Agents that use your tools within limits you define.
6 deliverables, a 4-stage approach and 5 related technologies.
Overview
An AI agent goes beyond answering questions: it plans steps and uses tools such as searching records, drafting emails or updating tickets. That power requires careful limits.
We design agents with narrowly scoped tools, read-only defaults, approval steps for consequential actions, rate limits and complete logs, and we test them against adversarial inputs before they meet real users.
What we deliver
- Agent scope and tool inventory
- Permission model for each tool
- Approval workflow for sensitive actions
- Evaluation scenarios including misuse
- Logging and replay of agent runs
- Operational runbook
Use cases
Typical situations where this service is the right fit.
Operations assistants
Look up orders, check stock and draft responses for staff.
Back-office tasks
Reconcile records and prepare reports for approval.
Developer tooling
Automate routine maintenance tasks with review.
How we work
The stages we follow. Each ends with something you can review.
- 01
Start read-only
- 02
Add write actions behind approvals
- 03
Treat external content as untrusted input
- 04
Review logs regularly
Things to consider
Questions worth answering before you commit budget.
- Prompt injection from documents or web pages is a real risk.
- Agents should never hold broader credentials than the task needs.
Technologies and engagement
Technologies we often use
We choose the stack with you; this is a starting point, not a requirement.
Ways to engage
- Fixed-scope project with milestones
- Dedicated team billed monthly
- Ongoing support and improvement retainer
Frequently asked questions
Related services
Generative AI
LLM-powered features: retrieval-augmented assistants, content drafting, summarisation and search over your documents with evaluation and guardrails.
AI-powered automation
Automation that combines AI understanding of documents, emails and messages with deterministic workflows and human review.
API development
REST and GraphQL APIs with versioning, authentication, rate limiting, documentation and SDKs for internal and external consumers.
Ready to talk about ai agents?
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