Claravance Advisory identifies where AI creates measurable value, assesses data, systems, and team readiness, and builds an executable roadmap - including Azure, M365, Copilot, and fractional CTO/CDO leadership.
AI Strategy
- AI Transformation Strategy & Roadmapping
- AI Readiness Assessment
Digital & Data Advisory
- Digital modernization advisory
- Data strategy and platform selection
Microsoft Ecosystem Consulting
- Azure, Microsoft 365, and Copilot optimization
Leadership
- Fractional CTO / CDO
Who is it for?
Executive teams who know AI matters but need a credible plan to operationalise it.
Talk to advisoryWhy Claravance
One partner rather than five vendors, AI-native from the first engagement, staffed by senior practitioners, and delivered across the US and India.
End-to-end
Strategy through execution, all under one roof. One accountable partner and one contract instead of five vendors to coordinate.
AI-native
We do not bolt AI onto legacy services. Every engagement uses agentic AI, automation, and intelligent tooling from the start.
Seniority
Engagements are staffed by practitioners who have delivered at enterprise scale, so there is seniority on the problem from day one.
Global scale
US leadership and client engagement with India-led engineering, for enterprise-grade quality and competitive economics.
Most organizations don't have an AI problem. They have a decision problem.
Organizations face hundreds of use cases, limited budgets, legacy data, and pressure to act.
Before code is written, we answer three questions with evidence:
The expensive mistake isn’t moving too slowly.It’s building the wrong thing confidently.
Where does AI pay off in your operation - not in a vendor's slide deck?
What has to be true first - data quality, integration, governance, skills?
In what order do you build, so early wins fund later bets?
What's Included in Our AI Advisory Services
AI Strategy & Roadmaps
We score AI use cases by value, feasibility, and risk, then turn the priorities into an owned roadmap with budgets and success measures.
AI Readiness Assessment
We assess data, integrations, security, governance, skills, and adoption readiness, then provide a scored gap analysis and sequenced remediation plan.
Data Strategy Consulting
We define the target data architecture, ownership, quality standards, access policy, and remediation backlog required to support your AI roadmap.
Azure, M365 & Copilot Consulting
We assess tenant hygiene, permissions, data protection, adoption, and productivity, then plan Copilot, Azure OpenAI, or AI Foundry rollout. Readiness comes before enablement.
Fractional CTO / CDO Services
Hands-on fractional technology leadership for architecture, vendor selection, team design, transformation ownership, and board reporting - typically one to three days per week.
How an Advisory Engagement Works
01 · Weeks 1–2
Discover
Stakeholder interviews, systems and data review, use-case harvesting.
02 · Weeks 2–4
Assess
Readiness scoring, value/feasibility analysis, risk review.
03 · Weeks 4–6
Decide
Prioritized roadmap, business cases, build/buy calls - pressure-tested with your leadership.
04 · Weeks 6–8
Mobilize
Delivery plan, team design, governance setup, first-initiative kickoff.
The team recommending your roadmap can also design, build, and secure it - keeping strategy grounded in delivery and eliminating unaccountable slideware.
Who This Is For
Mid-market and enterprise leaders
Under pressure to show AI results with a finite budget.
CIOs/CTOs
Need an independent, vendor-neutral read on where AI genuinely fits.
Microsoft-centric organizations
Planning a Copilot or Azure AI rollout.
Boards and PE operating partners
Want an executable roadmap, not a maturity assessment.
Frequently Asked Questions
A credible AI consulting engagement delivers a prioritized use-case portfolio, a readiness gap analysis, a sequenced roadmap with budgets and success metrics, and build/buy recommendations. If the deliverable is a vision deck without a delivery plan, you've bought slideware.
Most readiness assessments take three to six weeks depending on organization size and data complexity. The output is a scored assessment across data, technology, people, and governance, plus a remediation plan sequenced ahead of your first AI builds.
A fractional CTO fits when you need senior decisions now - architecture, vendor selection, AI strategy - but don't yet have the workload or budget for a full-time executive. It's also a proven bridge during a leadership search or a transformation program.
No - and waiting for perfect data is its own failure mode. You need data that is good enough for the specific use case, with a remediation plan for the rest. A readiness assessment tells you which use cases your current data can support today.
Only after permissions and data-governance readiness work. Copilot surfaces whatever a user can technically access - including files that were over-shared years ago. A pre-deployment readiness review closes those gaps before enablement.
Talk to an Advisor
Bring a use case, stalled initiative, or Copilot decision and get a direct answer in a 30-minute working session.