AI Consulting Strategy
Turn ambition into a pragmatic AI plan: use‑case discovery, readiness audit, and an execution roadmap with KPIs, risks, and governance—so you pilot safely and scale with confidence. Many teams now rely on AI Consulting Strategy to define impact, governance, and delivery plans.
- Identify quick wins and high-impact bets through AI Consulting Strategy
- Assess data, processes, and compliance
Roadmap with owners, timelines, and KPIs guided by AI Consulting Strategy
Buyer Personas
- CEO / COO / CTO
- Heads of Ops, Finance, CX, Marketing
- Founders at SMEs & Startups
North‑Star KPIs
- Cost to serve, throughput, error rate
- CSAT/deflection, CVR/ROAS, LTV/CAC
- Time‑to‑launch, roadmap velocity
Outputs
- Prioritized use‑case backlog with impact
- Readiness gaps + mitigation plan
12-week roadmap with owners & KPIs shaped through AI Consulting Strategy
Common Problems
- Vague goals and scattered experiments
- Unclear data readiness and guardrails
- No way to estimate ROI or pick quick wins
- Slow delivery and stakeholder misalignment
Our Approach
- Value-led use-case discovery refined by AI Consulting Strategy
- Readiness audit: data, process, risk
- Roadmap with KPIs, owners, timelines
- Pilot plan with governance & success criteria
Framework
- Discovery Workshops — goals, constraints, and impact hypotheses
- Readiness Audit — data, tools, processes, policies, skills
- ROI Model — value drivers, effort, risks, sensitivity
- Roadmap — quick wins (0–6w), build (6–12w), scale (12w+)
- Pilot Plan — success metrics, guardrails, runbooks
Governance
- Least‑privilege access and approvals
- Policies for PII, retention, and vendors
- Risk register and incident playbooks
- QA plans and post‑launch reviews
Representative Use Cases
Ops & Finance
Invoice processing, approvals, and reconciliation with audit trails.
Customer Experience
RAG chat, deflection, and handoff with SLAs and CSAT tracking.
Growth & Marketing
Ad variants, SEO clusters, and experimentation frameworks.
Product & Web
Personalized pages, semantic search, assistants, and CWV.
Data & Analytics
Executive KPIs, ROAS dashboards, forecasting, and alerts.
Compliance
Runbooks, logging, vendor risk assessment, and audits.
Playbooks & Docs
- Strategy deck and executive summary
- Use‑case briefs & requirements
- Runbooks and QA checklists
Roadmap & KPIs
- Prioritized backlog and timelines
- Metric definitions & ownership
- Experiment and rollout plans
Risk & Governance
- Risk register and mitigations
- Access and vendor policies
- Security & compliance checklist
Implementation Timeline
| Phase | Duration | Deliverables | Owner |
|---|---|---|---|
|
Discover |
3–5 days |
Goals, use‑cases, data map |
DGS + client |
|
Assess |
1 week |
Readiness audit + ROI model |
DGS |
|
Plan |
1–3 weeks |
Roadmap, KPIs, pilot plan |
DGS |
|
Kickoff |
2–5 days |
Project setup + governance |
DGS + client |
Packages
Discovery Sprint
1–2 weeks
- Workshops
- Use‑case backlog
- Quick‑wins plan
- 1 revision
Readiness & ROI
2–3 weeks
- Audit + risk register
- ROI model
- Pilot plan
- 2 revisions
Roadmap & PMO
4–6 weeks
- 12‑week roadmap
- KPIs & experiments
- Governance setup
- PMO support
Case Studies
What leaders say
“The roadmap aligned execs and delivered quick wins—we knew where to start.”
— CEO, SME
“Readiness audit clarified risks and policies; pilots ran smoothly.”
— CTO, Startup
Value vs. effort matrix with risk and data readiness filters.
Policies, access controls, audit trails, and vendor assessments.
Strategy deck, backlog, runbooks, and governance templates.
Yes—quick wins and pilots with clear success criteria.
Yes—ERP/CRM, helpdesk, shops, data warehouses, CMS, and more.
You own all deliverables—docs, templates, and models.