AI strategy consulting: readiness assessment, use-case selection and sequencing ordered by return. Strategy before code.
Most AI projects fail before they produce value — not from lack of talent, but from lack of strategic clarity.
Teams pilot AI in silos, duplicating effort and missing high-value cross-functional wins.
Organisations launch models before validating data quality, lineage, and access control.
Without policies on model bias, explainability, and compliance, AI projects face audit and legal risk.
Teams waste months evaluating vendor solutions without a clear make-or-buy decision framework.
Leadership underestimates the upskilling and change-management effort required for AI adoption.
Projects proceed without defined success metrics, making it impossible to demonstrate or course-correct value.
We run a structured four-week AI readiness assessment before recommending any technology or vendor. This prevents expensive pivots and ensures every initiative aligns to measurable business outcomes.
Evaluate data maturity, existing tooling, team capability, and regulatory constraints across your organisation.
Score potential AI initiatives against value, feasibility, and strategic fit using a weighted scoring model.
Design a reference architecture that maps data flows, model pipelines, and integration points.
Define responsible AI principles, model-risk policy, explainability requirements, and oversight processes.
The AI Sprint takes one defined process and delivers a working application — fixed scope, fixed price, code and hosting yours.
See the AI SprintA prioritised 12–18-month execution plan with sequenced initiatives, milestones, and KPIs.
Structured audit of data, infrastructure, talent, and process maturity across your organisation.
Policy frameworks, bias audits, explainability requirements, and regulatory alignment (EU AI Act, GDPR).
Vendor shortlisting, RFP support, and objective scoring models to guide platform decisions.
Operating model design for an internal AI CoE — roles, rituals, tooling, and governance cadence.
OKR and KPI frameworks to measure AI ROI continuously from pilot through production.
A fixed-scope advisory sprint gives you a complete, actionable strategy without an open-ended consulting retainer.
Vendor-neutral advice across the full AI platform landscape.
We don't resell platforms, so our recommendations are based purely on your needs and what the evidence supports.
Our advisory team works alongside delivery squads. Roadmaps are immediately executable — not shelf-ware.
AI governance aligned to GDPR, revDSG, EU AI Act, SOC 2 Type II, and Swiss/EU data-residency requirements from day one.
We build internal capability alongside the strategy — your team owns the roadmap, not just a document.
28-day advisory sprint with clear deliverables, no scope creep, and a defined exit with transferable assets.
A Swiss entity you can hold responsible, with delivery centres in India. Working hours overlap with CET core hours, so coordination, reviews and demos happen the same day.
Our standard AI readiness assessment and Roadmap sprint is 28 calendar days. Larger organisations with multiple business units may need 6–8 weeks for comprehensive coverage. We also offer rapid 5-day workshops for leadership alignment sessions.
No. Data readiness assessment is part of our engagement. Many clients engage us precisely because they're unsure about their data state. We'll assess what you have, identify gaps, and factor this into the roadmap realism.
We work with organisations from 50-person scale-ups to global enterprises. For smaller organisations we offer a lighter-touch AI Opportunity Workshop (3 days) that delivers use-case shortlisting and a starter governance checklist.
All deliverables are yours: the readiness report, use-case scoring model (in Excel/Notion), architecture diagrams, governance policy templates, and the full roadmap deck. We transfer full IP with no ongoing licence.
Regulatory alignment (GDPR, revDSG, EU AI Act, SOC 2 Type II, Swiss/EU data residency) is embedded throughout — not added as a final chapter. Every use case is scored for regulatory risk during the prioritisation phase.
