How we work
Interpret, Align, Implement.
Prism’s structured three-phase approach keeps transformations grounded in measurable outcomes. Every engagement starts with shared context, sharp hypotheses, and a transparent view of the opportunities in front of you.
While the phases are consistent, the way we run them flexes to your culture, pace, and risk appetite. We embed alongside your teams, adapting playbooks and cadence so progress feels natural instead of disruptive.
By the time we reach implementation, every stakeholder knows what we’re building, why it matters, and how impact will be proven. That clarity turns AI potential into durable, operational advantage.
Phase 01
Interpret
We interrogate your current strategy, data estate, and operating reality to surface the problems AI is best suited to solve right now.
- Leadership and frontline interviews to align ambition, constraints, and existing AI literacy.
- Operational and data landscape inventory with quality scoring to understand readiness.
- Workflow mapping and service blueprinting to identify pivotal decision points and automation moments.
- Risk, compliance, and change-readiness review to surface guardrails and sponsorship needs.
“Prism gave us the first clear line of sight into where AI would actually move the metrics we care about.”
Phase 02
Align
We co-design the operating plan, governance, and measurement framework so every team understands priorities and accountability.
- Collaborative roadmapping sessions that connect business outcomes to technical workstreams.
- Capability and skills assessment to target enablement, hiring, or partnership gaps.
- Governance and risk protocols drafted with legal, security, and compliance stakeholders.
- Success metrics, leading indicators, and reporting cadences codified for transparency.
“Their alignment workshops turned competing initiatives into a single, confident plan of record.”
Phase 03
Implement
We deliver, embed, and scale solutions with your teams, ensuring adoption sticks and value compounds after launch.
- Agile delivery pods that prototype, validate, and deploy prioritized use cases.
- Playbooks and enablement tracks so product, operations, and IT teams can own the solution.
- Change management and communications support tailored to stakeholder segments.
- Post-launch measurement, iteration, and handoff to internal stewards.
“Within eight weeks the pilot was in production and our teams had the tools to keep iterating.”