Intelligence, well applied — three ways.
Every engagement is scoped and priced before work begins. You’ll know the cost, the timeline and the deliverable before you commit — no surprises, no open-ended meters.
Strategy
Where AI earns its keep.
Most AI projects fail at selection, not execution — the wrong use case, chosen on hype. Strategy work at Suviq is ruthless about one question: where does AI pay for itself in your business, in what order, and what should you deliberately not do yet. Sometimes the answer grows revenue — sharper forecasting, faster follow-up, fewer lost sales; sometimes it cuts waste. We’re deliberately agnostic between the two: the ROI decides, and the least fashionable projects often pay best.
AI Opportunity Audit
fixed fee · half-day roadmap workshop · fee credited against your first Build Sprint within 60 days
Two scopes: Focused (typically ~2 weeks) when you already know the problem — we verify it, assess your team and context, and scope the solution. Full (typically 3–4 weeks) when you don’t — process walkthroughs across functions, use-case prioritisation, quantified ROI per opportunity, phased roadmap.
The free report works from what you tell us — self-reported, indicative by design. The audit works from what we verify: your processes walked through, your systems inspected, your numbers checked. That’s the difference between a good signal and a dependable plan.
Systems
Working software, not slideware.
Most SMBs don’t have an AI problem — they have a data problem. Information trapped in tools that don’t talk to each other, spreadsheets that disagree, numbers nobody quite trusts. Before intelligence can be applied, the data has to be captured, connected and flowing — so every Systems engagement starts with the unglamorous work first. Then we design and build the automation, integrate it with the tools you already run, test it on your live work, and hand it over documented — with your team trained as part of delivery, not as an afterthought.
Adoption
Teams that actually use what’s built.
Software nobody uses is the most expensive kind. Adoption work makes AI stick — and keeps it improving. Every system we ship carries a feedback loop: usage measured, errors captured, prompts and rules refined on a cadence. AI that doesn’t get better with use is just depreciation on a subscription.
Team Enablement
working sessions · on your real work
Working sessions with the people who’ll use the systems daily: practical, on your real work, no theory.
AI Partner
monthly
We monitor and improve what’s live, and every quarter we bring you the next opportunity, sized and scoped.
