No AI jargon required
Describe your problem the way you'd explain it to a colleague. We map it to the right approach, not the other way around.
Tell us what's happening. We'll show you where AI can help.
Describe a real problem in your business — no need to know what an AI agent, RAG, or an API is. We'll map your workflow, work out what fits (AI or plain automation), and hand you a practical solution blueprint.
AI only where it fits
Some problems are best solved with plain workflow automation, not an AI agent. We tell you which one yours is.
Humans stay in the loop
Every blueprint spells out what AI can handle on its own and what should stay with a person.
No guesswork sold as fact
Integrations, timelines and complexity are marked as indicative — validated properly during a real technical discovery call.
1Describe
2Refine
3Blueprint
Before you describe your problem
It's rule-based pattern matching against a set of known business-process patterns, not a generative AI model — deliberately, so the recommendation is consistent and explainable rather than a black box. It's honest about what it doesn't know and asks you directly.
No. Some problems described here (e.g. copying data between two systems) get a plain workflow-automation recommendation instead, because that's the more appropriate — and cheaper — fix.
Your details and blueprint go to our team, and one person follows up within a business day to validate the recommendation and answer questions — not a sales sequence.
No — it's an indicative planning view based on what you described. A firm scope and cost comes after a technical discovery call.
You'll still get a blueprint — it will say plainly what's unclear and what we'd need to confirm on a call, rather than force-fitting your problem into the wrong category.
◆ Let's build
Ready to put AI to work in your industry?
Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.
- Free AI auditWe map the highest-ROI AI opportunities across your workflows.
- Prototype in weeksA working proof-of-concept on your real data before you commit.
- One accountable teamStrategy, models, data and deployment — end to end.
120+ teams shipped across 6 industries
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