AI Strategy Services Turning AI Ambition Into Real Outcomes
Most enterprise AI efforts stall after the proof of concept. Kanerika builds the roadmap, governance and delivery plan that moves AI from idea to funded production. Most AI roadmaps are ready in 2 to 4 weeks.
AI Strategy Engagements
Roadmaps Reach Production
Return on AI Investment
Recognitions & Achievements
AI Strategy and Advisory: From Assessment to Execution
Strategy designed for execution across the full lifecycle, from assessment to governance, with one accountable team.
AI Readiness Assessment
- Evaluate AI, generative, and agentic readiness today
- Benchmark your foundations against industry maturity baselines
- Surface gaps across data, infrastructure, people, process
AI Roadmap Development
- Build a phased roadmap tied to actual business value
- Map quick wins against longer-horizon AI investments
- Give leadership clear sequencing, cost, and ROI
AI Use Case Prioritization
- Run workshops with sales, finance, and operations
- Surface the highest-impact, most feasible use cases
- Score each against your strategic business priorities
AI Governance Framework
- Build governance for model oversight and privacy
- Set ethical guardrails and regulatory compliance controls
- Apply Microsoft Responsible AI principles on Azure
AI Center of Excellence
- Design, staff, and operationalize your AI Center of Excellence (CoE)
- Cover tooling, workflows, reuse, and governance protocols
- Scale AI in-house beyond individual, isolated projects
Data Strategy for AI
- Assess data infrastructure, pipelines, and governance maturity
- Build a comprehensive data strategy for enterprise-scale AI
- Use data platforms like Microsoft Fabric, Databricks and Snowflake
The IMPACT Methodology for AI Strategy and Advisory
A structured path from assessment to roadmap and governance, so strategy becomes production work leadership can fund and audit.
Reviews That Speak for Themselves
4/5
2 reviews
"Built a flexible Snowflake data model for changing needs."
5/5
19 reviews
"Delivered projects with structure, flexibility, and clear communication."
5/5
6 reviews
"Improved daily workflows through AI and analytics solutions."
5/5
19 reviews
"Reduced our reporting time from hours to minutes."
5/5
19 reviews
"Delivered AI and data engineering with responsive support."
5/5
31 reviews
“Modernized data systems around real customer usage.”
5/5
38 reviews
“Completed consulting delivery on time and within budget.”
5/5
11 reviews
“Supported analytics delivery with reliable technical expertise.”
5/5
13 reviews
“FLIP bridged our banking systems to deliver a 360-degree customer view.”
5/5
6 reviews
“Managed delivery efficiently while maintaining communication.”
5/5
5 reviews
“Improved data visibility and confidence across operations.”
AI Strategy Consulting Services Delivering Predictable ROI
Measured impact across industries, from operational efficiency to resource savings.
85% Accurate Sales Forecasting with AI for Manufacturing
Impact:
- 85% Accurate Sales Forecasts
- 100% Granular Insights
- 50% Increase in Identifying Customer Churn Risk
3x Faster Expert Vetting with an AI Compliance Agent
Impact:
- 3X Faster expert vetting
- 70% Decrease in backlog cases
- 40% Reduction in event delays
20% Productivity Lift for Bank Treasury with AI Forecasting
Impact:
- 20% Increase in workforce productivity
- 35% Reduction in processing delays
- 40% Increase in AI tool and data utilization
Calculate Your AI Use Case ROI
Quantify your return on AI investment, tailored to your industry and use case, and built on your data.
Annual process cost comparison
Calculation summary
| Current annual manual cost | $0 |
| Applied efficiency gain | 0% |
| Estimated annual savings | $0 |
| Estimated AI project investment | $0 |
| First-year net benefit | $0 |
Review the estimate with an AI specialist
Validate the assumptions, cost scope, and delivery plan for your selected use case.
Book a 15-Min CallWhy Choose Kanerika for AI Strategy Consulting?
Strategy grounded in shipped AI products, Microsoft expertise and the governance certifications regulated enterprises need. Our 250+ certified experts are trusted by Fortune 500 companies, and Kanerika is a Microsoft, Anthropic and OpenAI partner.
Production AI agents already run in live enterprise environments, giving your roadmap a grounding in what actually deploys at scale.
Certifications including ISO 27001, SOC 2 Type II, and CMMI Level 3 put audit trails and access controls into engagements.
In-house Microsoft MVP means strategy grounded in Purview, Fabric, and the stack your enterprise already runs.
Frequently Asked Questions (FAQs)
What is AI strategy consulting?
AI strategy consulting helps organizations define where and how to invest in artificial intelligence. It covers use case identification, roadmap development, data and infrastructure assessment, governance design, and execution planning, all tied to specific business outcomes rather than generic technology adoption.
How is AI strategy consulting different from AI implementation services?
Strategy consulting focuses on what to build, why, and in what order. AI implementation services execute the build. Kanerika provides both, which means the strategy we develop is designed for execution, not handed off to a separate team with different assumptions.
Do you run generative AI and data readiness assessments?
Yes. Our AI readiness assessment evaluates AI, generative and agentic readiness, benchmarks your foundations against industry maturity baselines and surfaces gaps across data, infrastructure, people and process, so it also serves as a generative AI readiness assessment. For data readiness, we assess data infrastructure, pipelines and governance maturity. Initial assessments typically run two to four weeks.
Is there an AI ROI calculator for estimating the return on an AI strategy?
Yes. Kanerika’s free ROI calculator for AI strategy use cases estimates annual savings, hours saved per year, payback period and first-year ROI for your industry and use case. You enter team members involved, fully loaded hourly cost, hours per week and the estimated AI project investment. To see where your organization stands first, take the AI maturity assessment, a 6-minute assessment across AI/ML foundations, generative AI and AI agents.
Do you offer AI transformation consulting?
Yes. AI transformation consulting at Kanerika runs from assessment to governance with one accountable team. It delivers an AI readiness assessment, prioritized use cases, a sequenced roadmap with ROI targets, an AI governance framework and, where it fits, an AI Center of Excellence. Kanerika is featured by Intellyx for leadership in digital transformation, and our AI transformation services continue into execution through our AI consulting and implementation services.
How long does an AI strategy engagement typically take?
Initial AI maturity assessments and roadmap engagements typically run two to four weeks, depending on organizational complexity. Kanerika can also run rapid-assessment workshops for leadership teams with tighter timelines.
Do we need to have existing AI infrastructure to work with Kanerika?
No. We work with organizations at every stage of AI maturity, from those just beginning to evaluate AI to those scaling existing programs. Our AI maturity assessment is designed to meet you where you are.
How does Kanerika's Microsoft partnership affect AI strategy engagements?
As a Microsoft Solutions Partner for Data and AI and a Microsoft Fabric Featured Partner, Kanerika has deep knowledge of the Microsoft AI and data stack. For organizations already running on Azure, Power Platform, or Microsoft Fabric, this means our recommendations are grounded in what’s actually available and supported, not theoretically optimal in a vacuum.
What industries does Kanerika serve with AI strategy consulting?
Kanerika serves enterprise clients across BFSI, manufacturing, logistics and supply chain, retail and FMCG, and healthcare. Each engagement is shaped around the specific regulatory environment, data landscape, and competitive dynamics of that sector.
What is an AI Center of Excellence and do we need one?
An AI Center of Excellence (CoE) is an internal team or function responsible for AI governance, reuse, and enablement across the organization. It’s most valuable once an organization has multiple AI projects running or in flight. Kanerika helps design, staff, and operationalize CoEs at various scales.
How does Kanerika approach responsible AI and governance?
Responsible AI governance covers model transparency, data privacy, bias evaluation, and regulatory compliance. Kanerika builds governance structures aligned with Microsoft’s Responsible AI principles for organizations on Azure, as well as broader frameworks including the NIST AI Risk Management Framework.
What should you look for in a consulting partner for AI roadmap creation?
Look for an AI strategy consultancy that grounds the roadmap in AI that already runs in production, covers governance as well as use cases, and can carry the plan into execution. Kanerika’s AI strategy work is grounded in shipped AI products and production AI agents, backed by Microsoft expertise and ISO 27001, SOC 2 Type II and CMMI Level 3 certifications.
What does an AI roadmap consulting engagement deliver?
An AI roadmap engagement delivers an AI readiness assessment, a prioritized set of use cases, a sequenced roadmap with ROI targets, an AI governance framework, and a data strategy for AI. Where it fits, we also help set up an AI Center of Excellence so your teams can run the plan after the engagement ends.
How much does AI strategy consulting cost?
Cost depends on scope. The main drivers are how many business units and use cases the strategy covers, how much discovery and data review is needed, and whether the work ends with a roadmap or continues into build support. A focused readiness review costs less than an enterprise-wide strategy with a full roadmap and ROI model. Kanerika sizes an engagement after a scoping call, once the goals and current AI maturity are clear.
What does an AI strategy consultant do?
An AI strategy consultant helps an enterprise decide where AI should be used and in what order. The work covers an AI readiness review, use case prioritization, a roadmap, ROI targets and governance. The output is a plan your teams can execute, with owners, timelines and measures of success for each initiative.
What should an AI roadmap include?
An AI roadmap should list the prioritized use cases, the data and platform work each one needs, the sequence and timeline, the owners, the budget range and the ROI target for each initiative. It should also set governance and risk controls, and define how progress is measured. A roadmap that lacks owners and measures tends to stall after the planning stage.
What is an enterprise AI strategy?
An enterprise AI strategy sets out where AI will create value across the organization, which use cases come first, what data and platforms they need, and how risk is governed. It turns scattered pilots into one plan with owners, budgets, and measures. Kanerika builds it from an AI readiness assessment, ties it to your data strategy, and turns the plan into an AI implementation roadmap that the delivery team can build against through our AI consulting and implementation services.