AI & Automation
Connected workflows and practical AI integrations that give your team time back.
Built around your reality.
We connect the tools your team uses and automate well-defined tasks. Where AI is useful, we integrate suitable model APIs with your workflow, define review and fallback steps, and test the results on representative examples before release.
What you walk away with.
The deliverables below describe work we can discuss for your project. The included features, integrations, tests, and handover materials are specified in your project agreement.
- Workflow mapping and automation requirements
- API integrations, scheduled tasks and event-driven workflows
- AI-assisted extraction, classification or drafting where scoped
- Human review steps, access rules and failure handling
- Representative evaluation examples, logs and operating guidance
- Source code and integration documentation
Outside this service.
- Guaranteed accuracy for open-ended AI output
- Third-party subscriptions, model usage and hosting fees unless included
Source files & handover
After the agreed payment conditions are met, we deliver the source files and documentation listed in your project agreement. That agreement defines rights to custom work and licenses for existing tools and third-party components.
Every decision matters.
Rules-based automation or AI-assisted processing
Deterministic rules suit structured tasks. AI can help with ambiguous inputs, but needs evaluation, review and usage-cost monitoring.
From first conversation to delivery.
Your project timeline is agreed after we review the scope, integrations, and technical requirements. Your proposal sets out the delivery milestones and responsibilities.
Map the workflow
Identify the recurring task, users, tools, data boundaries and acceptance criteria.
Build a focused prototype
Test the integration or model on representative inputs before expanding the workflow.
Verify and review
Check failures, permissions and output quality, with human review where needed.
Release and hand over
Document credentials management, operating costs, logs and the agreed support plan.
A few things worth knowing.
A few answers to help you plan your project. Commitments specific to your engagement are defined in your project agreement.
Does every automation need AI?
No. We use ordinary integrations or rules when they meet the need. AI is considered where it adds a useful capability.
What costs continue after launch?
Hosting, connected-tool subscriptions and model API usage may have ongoing costs. We identify these separately from the build scope.