01
Target operating model
A layered blueprint across data, platform, product and governance — sized to your current maturity, not a reference-architecture fantasy.
Modeling Practice
AI Business Modeling.
Target operating models, capability blueprints, and org designs for enterprises operationalising AI at scale — with the process re-engineering that makes it stick.
Practice
Modeling Practice
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do
Three pillars that carry the practice.
02
Org & capability design
Role charters, hiring plans and RACI matrices that make AI ownership unambiguous across business, IT, data and risk.
03
Process re-engineering
We rewrite the workflows AI touches — not bolt models onto legacy processes and hope for lift.
“
We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities
What we build inside this practice.
Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.
Scope an engagement01Target operating model (TOM) blueprint
02AI capability maturity assessment
03Center of Excellence (CoE) charter
04Org design & role charters
05Process re-engineering (BPMN)
06Platform & vendor architecture
07Change-management program
08KPI & metric governance
Reference architecture
How the pieces move.
03 — In production
Numbers from the field.
11
AI CoEs launched
From founding charter through first quarterly review across banking, telco and government.
52%
Duplicate tooling removed
After consolidation via a target platform architecture.
2×
Faster hiring cycles
When role charters and capability maps precede recruiting.
04 — The problem we solve
You can't scale AI on an org chart built for reporting.
Most enterprises try to run AI through the same committees that approved SharePoint sites. The result: models trapped in the data team, business owners with no accountability, and a CoE that produces papers instead of products. We rebuild the operating model — org, process, platform and governance — as one coherent system.
6×
Higher AI throughput with a product-team model vs. project model
40%
Of AI value leaks to process debt, not model quality (BCG, 2024)
1
CoE that owns platform, patterns and enablement
12wk
From assessment to first re-engineered workflow live
05 — How we deliver
A methodology we've run — not a slide.
Every engagement follows the same phased spine so leadership always knows what ships in the next two weeks.
- 01Phase 1
Maturity assessment
Score data, platform, talent, governance and product on a 5-level maturity model.
Maturity heatmapGap registerPeer benchmark - 02Phase 2
TOM design
Design target operating model across data, platform, product and governance layers.
TOM blueprintCoE charterVendor picture - 03Phase 3
Org & process
Role charters, RACI, BPMN process rewrites, and a hiring & upskilling plan.
Role chartersRACI matrixBPMN mapsHiring plan - 04Phase 4
Rollout & rituals
Quarterly-review rituals, KPI trees, and coaching for the first re-engineered workflow.
KPI treeQBR packCoaching plan
06 — Reference stack
Vendor-neutral. Battle-tested.
Modelling
BPMN 2.0ArchiMate 3SignavioMiroConfluence
Maturity frameworks
Gartner AI MaturityMIT CISRCDMCDAMA-DMBOKTOGAF
Product operating model
Team TopologiesMarty Cagan product modelObjectives & Key Results
Governance references
ISO/IEC 42001NIST AI RMFPDPLNDMOSDAIA AI Ethics
07 — What you get
Concrete deliverables.
- 01AI maturity heatmap + peer benchmark
- 02Target operating model blueprint
- 03Center of Excellence charter
- 04Role charters and RACI matrix
- 05Re-engineered BPMN process maps
- 06Hiring plan and upskilling curriculum
- 07KPI tree and QBR ritual pack
- 0812-week rollout runbook
08 — Buyer questions
What leadership actually asks.
Do you deliver this without doing our builds?
Yes. Modeling is standalone. Many clients use us for TOM + CoE design, then run builds internally or via other partners.
How do you avoid producing a shelfware document?
Every artifact is tied to a live workflow. The TOM is validated by re-engineering one process end-to-end during the engagement, so leadership sees the operating model in motion — not on paper.
Do you help with hiring?
We produce role charters, calibration rubrics and interview loops. We don't recruit directly, but we've onboarded shortlists from Riyadh, London and Lahore markets.
How is this different from a McKinsey org design?
We embed engineers alongside consultants. The TOM is tested against real platform constraints — not drawn on a slide and handed to IT to figure out.
Ready to scope this into your stack?
Book a working session with a lead architect.