AI Feasibility & ROI

When this is the right engagement

You'd take a Feasibility & ROI engagement instead of jumping straight to an AI Pilot when:

• You're weighing multiple use cases and need to know which to fund first — and what each will return.
• Your board or finance committee is asking for an ROI case before AI budget is approved.
• You need a unified compliance and security framework before any system goes live.
• You want an objective vendor shortlist that respects your regulatory and architectural constraints.

If you already know the use case and want to validate it with working code, skip this and start with an AI Pilot.

How it works

• Week 1-2: Stakeholder discovery — interviews with business, IT, and compliance leaders; use-case inventory
• Week 3-4: Use-case scoring (value × feasibility × risk × time-to-impact) and ROI modeling
• Week 5-6: Buy/build/wait recommendations, compliance framework, and resourcing estimates
• Week 7-8: Board-ready output, vendor shortlist, and follow-on planning

For organizations with a focused scope (fewer business units, or a pre-identified shortlist of use cases), we can compress weeks 1-4 and deliver in 6 weeks. Multi-business-unit organizations sometimes extend to 10-12 weeks.

What you walk away with

A practical, defensible package your leadership can act on:

• A scored portfolio of use cases ranked by value, feasibility, risk, and time-to-impact
• An ROI model and payback estimate for each prioritized use case
• A compliance and architecture framework that addresses HIPAA, SOC 2, GDPR, FERPA, FINRA, or PCI as applicable
• Buy/build/wait recommendations with rationale and resourcing estimates
• A board-ready summary plus per-use-case 1-pagers your teams can use to build the internal business case

Why customers pick us for this

The same engineers who model the ROI also write the code if you proceed. There's no advisory-to-delivery handoff and no incentive to over-promise — our deliverables regularly include "buy" and "wait" recommendations where we don't get a follow-on build. The ROI case you walk away with is pricing-aware, dependency-aware, and architecture-aware from day one — because it's built by the people who would do the build.

How we build the ROI estimates

Our ROI models are bottoms-up: we estimate cost from actual infrastructure pricing, labor from our own build benchmarks, and value from your operational data (processing volumes, cycle times, error rates). Each estimate carries an explicit confidence band — high-confidence where we have comparable build history, lower where assumptions dominate. We don't publish a single magic number; we give you a range and tell you which inputs drive the spread. When a subsequent Pilot or Build validates or invalidates the forecast, we feed that back into the model — so clients who continue with us get progressively tighter estimates.