What you get
- A prioritized AI roadmap tied to measurable business outcomes
- Clear build-vs-buy decisions backed by cost and feasibility analysis
- Leadership aligned on AI investment priorities and sequencing
Lead
You have AI budget. You don't have a path to ROI.
AI audits completed
ROI improvement
Weeks to roadmap
Trusted by teams at
The Problem
Your leadership team knows AI matters, but there's no consensus on which use cases to pursue, how to evaluate vendors, or whether to build or buy. Internal teams don't have the delivery experience to assess feasibility accurately.
Every quarter spent debating AI strategy is a quarter competitors spend shipping AI products. The cost of indecision compounds faster than the cost of a wrong bet.
What you get
Overview
Most AI strategies stall because the people writing the roadmap have never shipped AI into production. We have - over a hundred times - and that changes what the roadmap looks like.
Most AI strategies stall before implementation begins. Teams chase trending use cases instead of high-impact ones, underestimate data readiness, or pick the wrong build-vs-buy path. Budget burns, outcomes slip.
We bring delivery experience to strategy work. Every recommendation is grounded in what actually ships, scales, and delivers ROI - not what looks good in a deck. We've built 100+ products with AI components and know where projects die.
You leave with a prioritized roadmap, clear architecture direction, and confidence that your AI investment will deliver measurable outcomes inside the quarter, not next year.
Experience Signal
Advised on AI strategy for organizations across healthcare, fintech, SaaS, and manufacturing - backed by 100+ shipped AI products. We don't write strategies we can't deliver.
What we build
Data, team, and infrastructure assessment across every dimension that decides whether an AI initiative succeeds or stalls.
Structured workshops that produce a scored use case backlog with impact, feasibility, and sequencing rationale.
Total cost of ownership, risk, and speed-to-value analysis for every priority use case with a clear recommendation.
Vendor-neutral evaluation with defined criteria, proof-of-concept testing, and honest scoring against your real data.
Review of an existing AI architecture or plan with concrete changes, risk flags, and remediation direction.
Root-cause review of a failed pilot and a revised plan your team can actually ship.
Phased delivery plans with resource needs, risk controls, and success metrics mapped to business outcomes.
Strategy deliverables your CEO, CFO, and board will actually read - tight, specific, and grounded in delivery reality.
Fit
Good fit
Not the right fit
Process
We evaluate your data, team, workflows, and tech stack to set a realistic baseline for AI adoption. No hand-wavy scoring - every gap gets a remediation path.
Deliverables
We identify AI opportunities across your business, score them on impact and feasibility, and shortlist the ones that balance quick wins with strategic bets.
Deliverables
We evaluate technical approaches for priority use cases - model selection, infrastructure, vendor options, and build-vs-buy tradeoffs with real cost projections.
Deliverables
We deliver a phased AI roadmap with timelines, resource plans, risk controls, and success metrics. The plan is designed to start execution the Monday after delivery.
Deliverables
2-4 week AI strategy engagement ending in a build-ready roadmap and architecture direction.
Best forTeams that need fast clarity on AI priorities before committing budget.
Use Cases
A manufacturer wants AI for quality control, predictive maintenance, and supply chain optimization - but has no idea where to start or which vendor claims to trust.
How we build it
We assess data readiness per use case, benchmark vendor solutions against custom build options, and deliver a phased roadmap starting with the highest-ROI initiative.
Outcome
Leadership aligns on a 12-month AI roadmap. First initiative launches within 8 weeks of strategy completion.
A SaaS company spent 6 months on an AI copilot pilot that never reached production. The team is demoralized and leadership is skeptical about further investment.
How we build it
We audit the failed pilot, identify root causes, reassess the use case, and recommend a revised approach with realistic scope, architecture changes, and success criteria.
Outcome
Revised initiative ships to production in 10 weeks with clear quality benchmarks and real user adoption.
A healthcare platform is evaluating 5 AI vendors for clinical documentation automation but doesn't have the technical depth to separate real claims from sales talk.
How we build it
We design evaluation criteria, run structured vendor assessments, test key claims against the platform's actual data, and deliver a recommendation with total cost of ownership projections.
Outcome
Vendor selection wrapped in 3 weeks with confidence. Avoided a vendor that would have cost 2x more over 3 years.
What clients say
I spent years at Amazon fighting static surveys. RaftLabs built a working prototype in four days that already outperformed every survey tool I'd used. Twelve weeks later we had a full SaaS that product teams actually want to use.
Founder
Ex-Amazon PM - Perceptional
We went from text surveys that nobody finished to AI phone interviews that people actually enjoy. The voice agents handle the whole conversation, and the analytics tell us what we need to know without reading a single transcript.
Cherian Koshy
Behavioral Strategist - USA Today Bestselling Author
Proof
Deeper insights
Concept to launch
“Working prototype in four days. Full SaaS in twelve weeks.”
Read case studyTo production
Call reach
“Text surveys nobody finished became phone interviews people enjoy.”
Read case studyIndustries
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ExploreAI roadmaps for fraud, KYC, and customer service that pass compliance review the first time.
ExploreAI use case prioritization for content, creative, and personalization with real ROI projections.
ExploreAI strategy across catalog, search, pricing, and support with clear sequencing for multi-store rollouts.
ExploreClaims, underwriting, and customer service AI roadmaps with the audit trail and explainability the industry needs.
ExploreFront-desk, booking, and guest-experience AI strategy for multi-property groups short on staff.
ExploreWe're practitioners who build AI products, not analysts who write reports. Every recommendation comes from hands-on delivery experience. And we execute after strategy - same team, no handoff gap between planning and implementation.
Related Services
Next Step
A 2-4 week engagement that gives your team a prioritized AI roadmap, clear architecture direction, and build-vs-buy decisions you can act on immediately.