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Deloitte

Q2
Consulting · Shield
Researched as of October 2026
ShareLinkedInX
AdaptAugmentAssist
Q3Automator
Q6Optimiser
Q9Conductor
Q2Tactician
Q5Partner
Q8Explorer
Q1Operator
Q4Weaver
Q7Navigator
StructuredDynamicComplex
3/9 cells occupied
Shape Read

Omnia's June 2026 launch describes agents drafting audit procedures for a professional to review. There is still no usage figure, so that cell is a claim and stays off the grid. Deloitte is the expertise ceiling in action. Three cells occupied, all in the Assist-Augment range. The consulting model sells human judgment. Technology budgets rising from 8% to 14% of revenue signals investment, and the occupied reading remains: augment the consultant.

Trajectory: Q2 → Q4 by 2026

Inside the company · not a cell

Nothing quoted yet. A rate or a saving will sit here when it is on the record. It does not light the grid.

Initiative Map
CellInitiativeConfidenceEvidence
Q1Operator✅Basic AI tools for consultants — document retrieval, summarisation, template completion.As of November 2025
Q2Tactician✅AI Advantage for CFOs — analytics, automation, AI blended. Explainable AI in banking. Audit flagging.As of November 2025
Q4Weaver✅GenAI practice — consulting research synthesis, iterative analysis with AI supplying fragments.As of November 2025
Published record

The lines this reading rests on. A date is the source date, when the page or the line names one.

Omnia's agentic intelligence network is designed to bring new and existing AI agents together under a single framework, so they can work in concert to coordinate and execute entire workflows.

Executing preliminary procedures, including data extraction, evidence analysis, drafting documentation and developing preliminary conclusions for professionals to review.

By combining technology innovation with talent development, Deloitte is enabling its professionals to supervise, validate and work alongside AI to deliver high-quality, scalable outcomes.

Strength
Scale of deployment across 75K+ consultants
Fragility
Consulting ceiling at Q4 — expertise value requires human
Failure mode
Recommendation capture — junior staff defer to AI
Governance ceiling
Expertise-based value proposition governs ceiling
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