The SofStack AI Discovery & Feasibility Assessment is a two-week paid engagement that tells you what to build, whether your data supports it, how it should be architected and what it will cost, before you commit to a full AI project.
Most failed AI projects fail because of decisions made in the first few weeks: the wrong use case, unready data or an unclear success metric. Discovery fixes those decisions while they are still cheap to change.
When to Start With Discovery
You have several AI ideas and need to choose the one with the best return
Scope is unclear and vendors are giving you very different quotes
Data readiness is unknown across your systems
Leadership needs a business case before approving budget
Security and compliance teams need to understand the approach early
What You Receive
Deliverable | What it covers |
Use-case assessment | Prioritised AI opportunities scored by value, feasibility and risk |
Success metrics | Measurable targets for quality, speed, cost and business impact |
Data readiness report | Available sources, quality issues, gaps and access requirements |
Solution architecture | Recommended components, models, integrations and hosting |
Security and compliance notes | Data protection, access control and regulatory considerations |
Delivery plan | Phases, milestones, team structure and timeline |
Fixed quote | A costed proposal for the POC, pilot or MVP that follows |
The Two-Week Plan
Days | Activities | Output |
Days 1–3 | Stakeholder interviews and workflow review | Problem statement and use-case shortlist |
Days 4–6 | Data and systems review | Data readiness findings |
Days 7–9 | Approach and architecture options | Recommended solution design |
Day 10 | Final presentation | Report, roadmap and fixed quote |
Who We Involve From Your Side
Business sponsor who owns the outcome and budget
Process owners and end users who know the current workflow
Data and IT owners for the systems the AI will use
Security or compliance contact for early review of data handling
Why a Paid Discovery Pays for Itself
Avoids building the wrong thing: use cases are scored before any code is written
Reduces quote uncertainty: the build is priced against a defined scope
Speeds up approvals: stakeholders review a complete, documented plan
Yours to keep: the report and architecture belong to you, even if you build elsewhere
Discovery Pricing
Package | Scope | Price |
Focused Discovery | One use case, up to three data sources | From $2,500 |
Programme Discovery | Several use cases across teams, with prioritisation | Quoted after an intro call |
If you continue to a POC or MVP with SofStack, the discovery findings carry straight into the build.
Frequently Asked Questions
What is an AI discovery engagement?
It is a short, structured assessment that defines the right AI use case, checks data readiness and produces an architecture, plan and fixed quote before a build starts.
How long does AI discovery take?
A focused discovery takes two weeks. Programme-level discovery across several teams can take longer.
Why pay for discovery instead of getting a free quote?
Free quotes are based on assumptions. Paid discovery reviews your real workflows and data, so the plan and price are reliable.
Do we have to build with SofStack afterwards?
No. You own the report and architecture and can use them with any team.
What access do you need?
Time with key stakeholders and read access to sample data or system documentation, under an NDA.
Start With a Two-Week AI Discovery
Tell us about your AI idea or the problem you want to solve. We will confirm the discovery scope and a start date.