Data Epix / AI Strategy Package
AI Strategy & Opportunity Sprint
Where Should AI Pay Off First in Your Business?
In two weeks, we identify, size, and rank your best AI opportunities and check whether your data is ready to support them.
A ranked roadmap, ROI estimates, and a recommended architecture your leadership can act on.
- Scope
- One Business AreaOne business unit or function and its key processes
- Timeline
- 2 WeeksFrom the kickoff workshop
- Use Cases
- Up to 10 AssessedScored for value, feasibility, and data readiness
A Focused Sprint for Business and IT Leaders
For leaders who know AI matters but need a clear, fundable plan: which use cases to start with, what they are worth, and what it will take to deliver them.
We work across Azure, AWS, GCP, and on-prem environments and stay vendor-neutral. Each sprint covers one agreed business area; scope is confirmed before booking.
What You Receive
Ranked Use-Case Portfolio
Up to 10 AI use cases scored for business value, feasibility, risk, and data readiness, with the top three recommended.
ROI Estimates
Estimated hours saved, costs reduced, or revenue enabled for the top opportunities, with the assumptions shown.
Architecture and Readiness Score
A recommended technical approach and a data-readiness score for each top use case, including the gaps to close first.
Roadmap and Executive Readout
A 90-day roadmap and a 60-minute readout for your leadership team, with a fixed-price proposal for the first Launch package.
How the Sprint Works
We run a kickoff workshop, stakeholder interviews, and a review of your data and systems. We map candidate workflows, size their value, check the data and systems they depend on, and agree on priorities with you.
Clear Scope and Timing
One Agreed Business Area
One business unit or function, up to 10 candidate use cases, and up to six stakeholder interviews. Additional business areas are priced separately.
Kickoff Starts the Clock
You provide stakeholder time, relevant process documentation, and an overview of key systems and data. The two-week clock begins at the kickoff workshop; scheduling delays pause it.
Implementation, data migration, and cloud, model, or license costs are excluded. ROI figures are estimates based on agreed assumptions, not guarantees.
Synthetic example for illustration. This is not a client result or an assessment of any named company.
Illustrative Output: Accounts-Payable Invoice Processing
- A finance team manually keys about 2,000 supplier invoices a month from email attachments into its ERP system.
- The sprint scores invoice processing as a top opportunity: high volume, clear rules, structured target data, and a measurable baseline of handling time per invoice.
- The output would describe the current process, estimate the hours saved and the assumptions behind it, list the systems and data involved, and name the risks to manage, such as exceptions and approval limits.
- The recommended next step would be an Agent Launch package: an AI agent that extracts and validates invoice data, with human approval for exceptions and a full audit trail.
- Success would be measured against the baseline: handling time per invoice, exception rate, and accuracy of posted data after go-live.
Request Your AI Opportunity Sprint
Tell us about your business and the goals you want AI to support. We will confirm scope and timing before booking. Please omit credentials, production data, and sensitive documents.
For other inquiries, visit our Contact page.