01
AI opportunity and portfolio decisions
Prioritize investments by operating value, feasibility, readiness, risk, and the evidence required at each funding gate.
Services · Core offer
Make the big decisions before the expensive ones
AI & Data Strategy
Palmetto helps executives decide where AI and data create real value, what it takes to get there, and how to sequence delivery. Engagements range from a focused diagnostic to retained senior guidance.
When to call
Recognize the operating
signal.
Start with the condition you can observe, the consequence it creates, and the person accountable for changing it.
- 01
AI activity is multiplying but leadership cannot see a coherent value case, sequence, or accountability model
- 02
A platform or vendor commitment is approaching before the operating requirements and exit costs are clear
- 03
A promising initiative is blocked by data, architecture, governance, security, or ownership questions
- 04
The organization needs senior technology leadership to align a transition, recovery, or defined transformation program
Where it shows up
Concrete uses,
not AI theater.
We apply these patterns to the workflow, systems, decision rights, and measures that drive your business.
02
Target architecture and roadmap
Connect business outcomes to data, knowledge, applications, integration, controls, and a sequenced delivery plan.
03
Build, buy, and platform choices
Evaluate capabilities, constraints, operating implications, lock-in, and fit before a big commitment.
04
Executive architecture and transformation leadership
Provide retained architecture or technology leadership for a defined decision set, transition, recovery, or delivery program.
The work product
What gets delivered.
What keeps it controlled.
Core deliverables
- Executive decision brief, opportunity map, value hypotheses, and explicit assumptions
- Readiness assessment across process, knowledge, data, architecture, people, governance, and risk
- Target-state architecture, decision principles, build-versus-buy analysis, or vendor scorecard
- Sequenced roadmap with dependencies, decision gates, owners, measures, and funding logic
- Executive readout, operating cadence, and retained decision support when scoped
Production and governance controls
- Explicit decision rights, assumptions, dependencies, risks, and evidence thresholds
- Stage gates that separate exploration, pilot evidence, production readiness, and scale
- Security, privacy, compliance, data, and model-risk questions integrated into the plan
- Architecture and vendor decisions evaluated for reversibility, operating burden, and ownership
Delivery path
Move from decision
to production.
Strategy engagements produce a decision brief and roadmap, with pilot and rollout support available as the plan moves forward.
01
Diagnostic
Scope-dependent
Define the operating problem, baseline the current state, test feasibility, and make the value, risk, and decision path explicit.
Typical outputDecision brief, baseline, target state, and sequenced recommendations02
Production-shaped pilot
Scope-dependent
Exercise the hardest assumptions with representative data, real users, appropriate controls, and an architecture that can survive beyond a demo.
Typical outputWorking pilot, evaluation evidence, operating lessons, and go-forward decision03
Scale & rollout
Scope-dependent
Harden what works, integrate it into the operating environment, expand adoption, and transfer the knowledge required to run and improve it.
Typical outputProduction capability, rollout evidence, runbooks, and ownership handoff
Measures & team
Measure the change.
Build with the owners.
Measures that show progress
- Priority decisions reached with owners, evidence, and timing made explicit
- Value cases strengthened, rejected, or redirected before avoidable spend
- Risks and dependencies retired before production or procurement gates
- Roadmap milestones, pilot-to-production decisions, and accountable ownership
The team we build with
- An executive sponsor who owns the decision and can align the affected leaders
- Business, operations, product, data, technology, security, and risk perspectives relevant to the scope
- Access to current plans, architecture, economics, constraints, and prior findings
- Timely participation in working sessions and decisions, because strategy gets built with the operators who have to execute it
Ownership
Build a capability
your team can own.
Decision records, assessments, architecture views, and roadmaps are working documents your team keeps using.
Questions buyers ask
Before we
begin.
Do we need a strategy engagement, or should we start building?
If the workflow, owner, value measure, and risk are already clear, go straight to a pilot. A diagnostic is for when one isn't, ending in a clear build, buy, sequence, or stop call.
Can you provide executive architecture or transformation leadership?
Yes, for a defined decision set, transition, or delivery program, with the outcomes, decision rights, and handoff named up front.
Start with the operating problem
Bring the context.
We will define the next step.
Share the workflow or decision, who owns it, what it costs today, and what makes the timing matter. We turn that context into a practical path with clear deliverables, measures, timing, and commercial terms.
Discuss an executive decision →Or email [email protected].