Figure out where AI fits. Before you spend six months building the wrong thing.
We audit your operations, find the decisions worth automating, and build a roadmap that ships.
Most companies start AI in the wrong place. They pick the flashiest use case instead of the highest-impact one. We run a structured diagnostic: map your decision points, score opportunities by effort and impact, and deliver a phased roadmap with clear owners and timelines.
What We Build
AI Readiness Assessment
Data, team, infrastructure audit: understand exactly where you stand and what needs to happen before AI can deliver value.
Use Case Identification
Where AI moves the needle: ranked shortlist of 3-5 use cases, each scored, scoped, and costed. Not "100 ways to use AI."
Vendor Evaluation
Build vs buy analysis: honest recommendations based on your problem, not what is trending. Save $200K+ on unnecessary custom work.
Roadmap Design
Phased AI adoption plan: quarterly milestones, budget estimates, team requirements. A plan your board can approve.
ROI Modeling
Business case with real numbers: cost, timeline, expected impact, and risk factors. Not hand-wavy "AI will save millions."
AI Governance Framework
Policies, ethics, risk management: the guardrails that let you move fast without breaking trust or compliance.
How It Works
Discover
Map your operations, interview stakeholders, and identify the decisions that matter most to your business outcomes.
Prioritize
Score opportunities by feasibility, effort, and ROI. Cut the wishlist to the 3-5 use cases that will actually ship.
Roadmap
Deliver a phased plan with clear milestones, owners, budgets, and build vs buy recommendations for each use case.
Where We Apply This
Banking & FinTech
Banks and fintechs need AI that scores risk in milliseconds, catches fraud without blocking good customers, and meets regulatory requirements without a 12-month compliance project. We build those systems.
View industry →Healthcare & Life Sciences
Healthcare teams run on fragmented systems, manual handoffs, and data that doesn't move between departments. We design AI-powered clinical workflows, patient engagement platforms, and data infrastructure that meets HIPAA requirements and ships into production.
View industry →Insurance & InsurTech
Insurance runs on decisions: pricing risk, processing claims, detecting fraud. Most carriers still make these decisions with rules written a decade ago. We build AI systems that score risk in real-time, automate 80% of claims processing, and catch fraud patterns human reviewers miss.
View industry →Enterprise & Operations
Large organizations run on manual workflows, approval chains, and spreadsheets that should have been replaced years ago. We build operational AI: demand forecasting, approval automation, vendor management, and the data infrastructure that makes real-time decisions possible.
View industry →Manufacturing
Manufacturing runs on timing. Downtime costs thousands per minute, quality defects compound through the supply chain, and demand forecasting determines whether you're sitting on inventory or missing orders. We build the AI and data systems that make these decisions faster and more accurate.
View industry →SaaS & Tech Products
SaaS companies need to ship AI features fast, scale infrastructure without downtime, and grow efficiently. We build the platform architecture, AI integrations, and growth systems that let product teams move at startup speed with enterprise reliability.
View industry →Frequently asked questions
We build systems. Our strategy work is grounded in what is technically feasible, what your data supports, and what ships in 90 days. No 200-page decks that sit on a shelf.
Yes. Most strategy engagements transition into build phases. Same team, same context, no handoff overhead.
We work alongside them. Our role shifts to prioritization, architecture review, and vendor evaluation. We augment, not replace.
Ready to talk ai strategy?
We audit your operations, find the decisions worth automating, and build a roadmap that ships.