Services

Practical AI

AI-assisted workflows, document handling, internal knowledge tools and agent integrations where they genuinely improve the system.

What we can help with

Bounded AI use cases with clear inputs, useful outputs and sensible review points.

Document & data handling

Extract, classify, summarise or structure information that would otherwise need repetitive manual handling.

Internal knowledge

Help staff find and work with information held across documents, procedures and internal sources.

Assisted workflows

Draft, triage or prepare the next step while keeping final business decisions visible and reviewable.

Agents, MCP & WebMCP

Connect AI systems to tools and services in controlled ways, including WebMCP Site Tools that make selected website actions directly discoverable to compatible browser-based agents.

Start with the job, not the model

We begin by asking what information is involved, what decisions really need human judgement and what a useful result looks like. Sometimes AI is valuable. Sometimes a conventional rule, form or database is safer and easier to maintain.

Where AI does help, we prefer bounded workflows with clear inputs, outputs and review points rather than vague promises of full automation.

AI in practice

Pathway

Pathway can use selected written reporting context to assist with a first draft while keeping professional review and approval with authorised staff. Evidence files held in the organisation's Google Workspace are not duplicated simply to power the AI feature.

See how Pathway uses practical AI

WebMCP Site Tools

Atinamos Tools already exposes a live WebMCP check_website tool alongside its normal human interface. We can apply the same pattern to useful actions in shops, booking systems, portals and other web applications.

See WebMCP & Site Tools

Atinamos Labs

Agent, MCP and autonomous-system experiments are kept in a separate research environment so emerging technology can be tested without turning client work into a research project.

Explore Atinamos Labs

AI where it helps. Ordinary software where it does not.

Atinamos Labs gives us room to test emerging agent and AI technologies. Client systems benefit from that experience without needing to become research projects themselves.

Have a process that might benefit from AI?

Tell us what people currently do, what information they work with and where the friction is.

Discuss the use case