Connected workflows
Link intake, research, task execution, checks, and delivery. Agree each step’s owner, expected result, and recovery process.
AI agents & automationAutomate recurring tasks
Automate recurring tasks
across your tools.
We build AI agents, software that uses AI and connected tools to carry out tasks. Connect research, document preparation, development, and checks, with clear permissions and review points.
What we can deliver
AI workflows with defined tasks and permissions.
Coordinated AI agents
Use agents for distinct tasks such as research, coding, analysis, or review. Coordinate handoffs and check the combined result.
Models, tools & knowledge
Connect the providers and business tools that fit your environment. Agree what agents may read, change, send, and publish.
Testing & operation
Measure output quality, errors, review effort, response time, and cost. Add monitoring, problem handling, and approval where the task needs them.
Project deliverables
What your team receives.
Agree the deliverables, checks, timing, and commercial terms before work begins. Review the working system and receive the source and guidance agreed for your project.
- 01A workflow map with permissions and owners
- 02Connected agents, tools, and agreed model settings
- 03Test cases and a record of results
- 04Operating guidance for failures and recovery
Choose the right amount of automation
A fixed integration suits a predictable transfer between systems. AI becomes useful when work involves interpreting documents, researching a question, or adapting the next step to what it finds. We can combine both: ordinary software handles reliable record updates while an agent prepares or interprets the information.
Give each stage a clear responsibility
Consider a document briefing workflow. One stage collects approved sources, another extracts relevant facts, and a review stage checks the draft against those sources. A coordinator tracks completion, unresolved questions, and the next permitted action. A failed tool or missing document should produce an actionable exception rather than an endless retry.
Set permissions, budgets, and release authority
We agree the accounts and tools each agent may use, what it can read or change, and when it must ask for review. Cost and time limits keep a stalled run from consuming resources indefinitely. Sending messages, updating production records, and publishing work need the authority specified by your organization.
Evaluate before expanding the workflow
Test ordinary requests, difficult cases, misleading instructions in source material, and provider failures. Compare accepted results, missed problems, review time, response time, and operating cost with the existing process. A pilot can run in draft mode first, with broader automation introduced where the evidence and agreed permissions support it.
Before you commission this service
Do we need an AI agent for every automated task?
No. Fixed rules and conventional integrations often suit predictable work. We use AI where interpreting information or choosing steps helps the task, and keep checks and review appropriate to the consequences.
What does an AI implementation project deliver?
An agreed workflow, connected tools, permissions, test cases, and operating instructions. A first release can prepare work for a person to review before wider access or automatic actions are considered.
Can we use our preferred AI provider?
We assess the provider against the task, available interfaces, information handling, quality, and cost. Provider selection and settings are agreed with your team rather than assumed.
AI permissions & reviewSet clear permissions
Set clear permissions
and review points.
Agree which steps may run automatically and which need review. Your organization controls sensitive access, consequential decisions, and external commitments.
Plan secure agent accessDiscuss a project
Discuss your projectWhich recurring task would you like to automate?
Tell us the problem, the systems involved, and the result you need. We’ll discuss a first step.