Week 01Understand · align
Find the fit.
Outside-in
Market, customer, peer and regulatory signals
Inside reality
Priorities, processes, data and technology
Two-week AI strategy
Two weeks to decide where AI belongs.
We combine an outside-in view of proven financial AI use cases with your priorities, processes, data and technology possibilities. In ten working days, you receive a prioritised use-case portfolio, implementation-oriented target architecture, indicative cost range and clear buy / build / adapt recommendations.
Fixed duration Practical decisions Built around your reality
Strategy sprint / 10 working days
From evidence to a clear decision
Week 02Design · decide
Make the choices.
Define the architecture
Integration, controls and indicative cost
Set the path
Buy, build or adapt—with ownership made clear
Day 10 / decision pack
A decision-ready strategy pack.- Prioritised use cases
- Target architecture
- Indicative cost range
- Buy / build / adapt
How we prioritise
Outside opportunity, aligned with inside reality.
We do not start with a blank workshop or a generic use-case catalogue. We bring a financial-services view from outside, then prioritise it with your stakeholders against what matters—and what can work—inside your institution.
Outside-in
What is becoming possible
- Proven financial use cases
- Customer and market expectations
- Regulatory direction
- Peer patterns
One shared ranking
PortfolioFIT
- Value
- Readiness
- Risk
- Economics
Inside reality
What your institution can support
- Strategic priorities
- Process readiness
- Data and technology possibilities
- Delivery capacity
ResultPrioritised portfolio
- Fund now
- Prove next
- Prepare
Each use case has an owner, an outcome, a human boundary and a reason to act.
Your decision pack
What you get at the end of week two.
Four connected outputs give business, risk and technology leaders the same basis for deciding what to fund and how to deliver it.
BlackAlpine / AI strategyDecision
pack
pack
Prepared in ten working days
- 01
Prioritised use-case portfolio
A short list prioritised with your stakeholders—not an inventory of AI ideas.
- Ranked as Fund now, Prove next or Prepare
- Value, readiness, risk and technology-fit score
- Named owner, outcome and human boundary per use case
OutputPortfolio decision - 02
Target architecture blueprint
A recommended target state that can support the priority use cases in your environment.
- Cloud or on-premise posture and data boundaries
- Model, runtime, orchestration and integration pattern
- Security controls, integration dependencies and ownership
OutputArchitecture blueprint - 03
Cost estimate and TCO range
An indicative investment range, including the costs that are easy to miss early on.
- Implementation, integration and platform costs
- Licences, model inference, infrastructure and data
- Indicative 12- and 36-month TCO, assumptions and sensitivities
OutputInvestment envelope - 04
Buy, build or adapt recommendation
A sourcing recommendation for each capability, based on differentiation and control.
- Buy commodity capability; build what differentiates
- Adapt open models or partner where it shortens the path
- Vendor dependency, portability and exit conditions
OutputSourcing decisions
The outcome
Leave week two knowing what to fund.
Bring the priorities, processes and current technology landscape. We return a decision pack your business, risk and engineering teams can act on.
Start the two-week sprintcontact@blackalpine.ai · two-week strategy sprint