Shared Methodology

Design-Build-Scale

EisnerAmper's proven AI consulting methodology provides the overarching framework, with Design Thinking, Agile Execution, and AI Governance embedded in every sprint.

Design

Empathize with stakeholders, define the problem space, and ideate solutions through co-creation workshops — with governance risk assessment from day one.

Build

Prototype rapidly, test with real users, and iterate through agile sprints — with model validation, bias testing, and compliance checkpoints at every gate.

Scale

Deploy proven solutions at scale with continuous monitoring, audit trails, incident response protocols, and governance frameworks for sustained, responsible growth.

Design Thinking Integration

Embedded within Design-Build-Scale, each phase maps to structured sprint execution

Empathize

Days 1–15

Stakeholder interviews, shadowing, pain mapping across client engagements

Define

Days 10–25

Problem framing, opportunity sizing, alignment with practice priorities

Ideate

Days 20–40

Co-creation workshops, concept development, solution architecture

Prototype

Days 35–70

MVPs, pilots, service blueprints, client-facing demos

Test

Days 60–90

Client feedback, iteration cycles, outcome measurement

Agile Execution Framework

Two-week sprints with defined objectives and acceptance criteria aligned to Design-Build-Scale milestones
Daily 15-min standups focused on blockers, progress, and priorities across workstreams
Sprint reviews every two weeks with demo of working output to stakeholders
Retrospectives after each sprint to drive continuous improvement and methodology refinement
Kanban board for full visibility across the team, tracked against Design-Build-Scale phases
Definition of Done: client-validated, documented, repeatable, governance-reviewed, and ready for scale

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