Use-case discovery
Choose a defined role, the information it needs and a measurable way to judge whether it helps.
What we build / 03
AI agent development
Custom AI agent development and integration for business workflows, research, communication and documents, with evaluation, permissions and human review.
Give AI a useful role in your business.
Give your team AI assistance that understands an agreed task and works with the right business context. We develop focused agents for communication, research, documents and operational workflows.
Discuss your project
The scope
What the service can include.
Agent design and integration
Connect approved models, business context and tools within clearly defined permissions.
Evaluation and human review
Test representative tasks, difficult cases and escalation paths before giving the system wider responsibility.
Controlled rollout
Start with a pilot, review quality and operating cost, then expand the scope where the evidence supports it.
Make it useful
Start with the work,
and the people doing it.
When this service makes sense
A strong fit when your team repeatedly interprets messages, searches information or prepares similar documents. AI needs a clear task and a useful evaluation method. Work that follows fixed rules may be better handled by ordinary automation.
What it could look like
An agent could draft a reply from an approved knowledge base, summarise a customer conversation or prepare structured information for a colleague to review. The important design decision is where it can assist, where it can act and when a person must take over.
How we deliver it
We define the role, data sources, available tools and approval boundaries first. A pilot is tested against representative examples, including missing information and unsuitable requests. We review output quality, usage costs and recovery behaviour before connecting it to everyday work.
What shapes cost and timing
The task, quality of source material, integrations and level of autonomy affect the scope. Model providers and other external services may charge separately for usage. Monitoring and ownership need to be clear so somebody can review failures and maintain the system as the business changes.
Explore our delivery process and hosting, ownership and support.
Evidence in the work
Related Orwell projects.
How is an AI agent different from a chatbot?
A chatbot primarily responds in a conversation. An agent can also use approved tools and follow a defined workflow. The distinction depends on what the system is authorised to do, how it uses business context and how its results are checked.
Can a person approve the AI’s work?
Yes. Approval can be part of the workflow for replies, updates or other consequential actions. We define which outputs can proceed, which need review and what should happen when the system is uncertain.
Can AI work with our existing systems?
We assess the systems, available access methods and required data. Integrations are scoped around permissions, matching records, testing and failure handling. Provider accounts and any live credentials must be configured for the agreed rollout.
Keep exploring