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AI STRATEGY & CONSULTING

An AI strategy that ends in working software, not slides.

Every board wants AI; few teams know which workflow to start with. Dezvo's AI strategy & consulting engagement maps your business challenges to concrete AI use cases, scores your data and systems readiness, and hands you a costed roadmap — with governance and compliance built in from day one, not bolted on after the pilot.

See Our Work
Engagement deliverables
  • AI readiness assessment
  • Use-case discovery & scoring
  • Costed 12-month AI roadmap
  • Governance & compliance plan
  • Pilot business case
WHAT IS AI STRATEGY CONSULTING?

A short answer before the sales pitch.

AI strategy consulting is a structured engagement that decides where AI creates measurable value in your business — and where it doesn't. It assesses your data, systems, and team readiness; ranks candidate use cases by ROI and feasibility; and produces a roadmap with costs, risks, and success metrics for each phase.

Done well, it takes 3-6 weeks and ends with one funded pilot and a build-ready plan. Done badly, it takes 6 months and ends with a slide deck. Dezvo runs the 3-6 week version: every engagement finishes with a pilot scoped tightly enough to start building the following week.

WHAT WE ASSESS

From business challenge to AI roadmap.

Business challenge mapping

Workshops with your operators — not just leadership — to find the workflows where hours are lost and errors are expensive. AI use cases ranked by ROI, feasibility, and time-to-value.

AI readiness assessment

A scored audit of your data quality, system access, security posture, and team skills — the four things that decide whether an AI pilot ships in weeks or stalls for quarters.

AI roadmap & pilot selection

A 12-month phased plan: quick-win automations first, platform investments second, moonshots last. Each phase costed, with success metrics and a kill criterion.

Governance & compliance

Usage policies, human-oversight rules, and data-handling standards mapped to GDPR, India's DPDP Act, and the EU AI Act — sized for your risk level, not enterprise theatre.

HOW IT WORKS

Three to six weeks, four steps.

1. Discovery workshop

1-2 days on-site or remote with leadership and operators. Output: a long-list of AI candidates tied to real business pain.

2. Data & systems audit

We inspect the actual databases, ERPs, and document stores — because AI strategy is worthless if the data can't support it.

3. Roadmap & business case

Scored shortlist, costed roadmap, and a full business case for the first pilot — investment, savings, metrics, risks.

4. Enablement & handover

Team briefing, tool recommendations, and governance templates. Build with us, in-house, or with another vendor — the plan works either way.

FAQ

Common questions, answered.

If your question isn't here, message us — usually same-day reply.

Four areas: data (quality, access, volume), systems (APIs, ERP/CRM integration points), security (access control, compliance constraints), and people (skills, appetite, process ownership). Each is scored with specific gaps and fixes — so you know exactly what to remediate before a pilot.

3-6 weeks depending on company size: roughly one week of discovery, one to two weeks of data and systems audit, and one to two weeks producing the roadmap, business case, and governance plan. We present to leadership at the end — and the first pilot can start the following week.

Five deliverables: an AI readiness scorecard, a ranked use-case shortlist, a costed 12-month roadmap, a business case for the first pilot, and a governance & compliance starter pack (policies, oversight rules, data-handling standards). All written to be actionable without us.

Yes — Dezvo has AI engineering, automation, and cloud teams. But the strategy is deliberately vendor-neutral: recommendations name build-vs-buy options honestly, and you can execute with any team. About half our strategy clients build with us; half take the plan in-house.
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