💡 Business Case · May 2026

The AI-native Consulting Operating System

Consulting IP is locked in past deliverables. Proposal win rates average 30%. Utilisation gaps cost £4M+/year per 200 consultants. ConsultingOS deploys 13 AI agents for knowledge management, proposal intelligence, resource optimisation, and delivery excellence.

13 AI AgentsKnowledge ManagementISO 9001 QualityFor Management Consultancies · Professional Services Firms

Open Live Dashboard ARTlligence ↗

67%

Knowledge reuse rate — AI retrieves relevant firm IP, precedents, and methodologies in seconds vs hours of manual search

+34%

Proposal win rate improvement — AI client research, competitor analysis, and win theme identification

+12pts

Utilisation rate improvement — AI resource matching lifts billable hours worth £4M+ per 200 consultants

+8pts

Engagement margin improvement — AI delivery tracking, scope management, and billing optimisation

The Problem

Why this sector needs AI-native infrastructure

📚 Knowledge: IP Locked and Inaccessible

A firm with 500 consultants and 10 years of deliverables has enormous IP — but 80% is inaccessible in file shares. AI knowledge intelligence indexes everything and retrieves the most relevant insight for any situation in seconds.

📝 Proposals: Expensive and Uncertain

A major consulting proposal costs £20-100K to develop — and loses 65-75% of the time. AI proposal intelligence compresses development time, improves research depth, and sharpens win themes.

⏱ Utilisation: 16% of Capacity Unbillable

At a 200-person firm with £150K average billing, 12 points of utilisation improvement is worth £4M+ annually. AI resource matching reduces bench time by matching the right people to the right engagements faster.

📊 Delivery: Scope Creep and Risk

Engagement scope creep is the biggest destroyer of consulting margins. AI engagement intelligence monitors scope, tracks deliverables, and flags risk signals — enabling partners to manage proactively.

💼 Client: Relationship Visibility

Consulting partnerships span multiple clients, multiple contacts, and multiple project teams. AI client intelligence provides a single view of relationship health, identifies expansion opportunities, and monitors satisfaction continuously.

💰 Billing: WIP and Realisation Leakage

Consulting WIP management and billing realisation are chronically inefficient — firms typically collect 80-85% of fees billed. AI financial intelligence monitors WIP, identifies leakage, and optimises billing timing.

AI Agent Capabilities

Every function. A specialised agent.

Knowledge

📚 Knowledge Intelligence AI

Firm IP retrieval, precedent matching, methodology library.

📝 Proposal Intelligence AI

Client research, win themes, proposal drafting, pricing.

Delivery

📊 Engagement Intelligence AI

Delivery tracking, risk monitoring, scope management.

People

👥 Resource Intelligence AI

Skills matching, utilisation, availability planning.

Clients

💼 Client Intelligence AI

Relationship health, expansion, alumni tracking.

Market

📈 Market Intelligence AI

Sector trends, competitor positioning, BD opportunities.

Finance

💰 Financial Intelligence AI

Engagement profitability, WIP management, realisation.

ConsultingOS — advisory intelligence across every capability. Every recommendation requires human approval. Every decision is logged and explainable.

— Built by ARTlligence on the 10-component architecture · Temporal · RAGAS · Langfuse · NeMo

Financial Impact

Measurable value from Day 1

Proposal Win Rate

+34%

AI intelligence

Utilisation

+12pts

AI resource matching

Engagement Margin

+8pts

AI delivery

Knowledge Reuse

67%

AI retrieval

Billing Realisation

+6pts

AI WIP management

Responsible AI

Advisory intelligence — humans decide

📚

Client data: confidentiality absolute

All client deliverables and data subject to strict confidentiality. AI knowledge base segregated by client — no cross-client data leakage.

📝

Proposals: partner sign-off

All proposals require partner review and sign-off before submission. AI prepares — partners approve.

📊

Engagement risk: partner escalation

All engagement risk flags escalated to engagement partner within 24 hours. AI monitors — partners act.

Implementation

Operational in 10 weeks

Phase 1 · Week 1–2

Foundation

Knowledge base indexing

CRM integration

Time recording system connection

Financial system APIs

Phase 2 · Week 3–4

Knowledge & Proposals

Knowledge Intelligence live

Proposal Intelligence active

Client Intelligence deployed

Market Intelligence

Phase 3 · Week 5–7

Delivery

Engagement Intelligence live

Resource Intelligence active

Financial Intelligence deployed

Risk monitoring

Phase 4 · Week 8–10

Full Platform

Partner dashboard

BD intelligence live

Utilisation analytics

Firm performance reporting

Market Opportunity

A sector under transformation — now

$116B

market size 2025

26.3%

annual growth rate (CAGR)

Global AI consulting market reaches $116B by 2034. Every mid-size consultancy faces the same question: how to deliver more value while protecting utilisation-driven revenue. ConsultingOS amplifies consultant output rather than replacing it.

Compliance Framework

Every regulation built in — not retrofitted

Professional Ethics (ICAEW/SRA/others)

AI outputs require professional sign-off. Integrity and objectivity standards apply.

Client Confidentiality — NDA Obligations

Consulting client data is highly sensitive. Cross-client contamination is a serious professional risk.

IR35 / Employment Status

Consulting workforce compliance. AI supports compliant contractor management.

GDPR — Client Data Processing

Client data processing requires lawful basis and processing agreements.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
Proposal Win Rate +34%	Current 30% win rate → 40.2%. On £10M annual proposals: £1.02M additional revenue.
Utilisation +12 points to 84%	200-person firm. £4M additional billable revenue.
Knowledge Reuse 67%	Research time 30% of consultant hours. £3M/yr capacity recovered on £15M payroll.
3-Year NPV (200-consultant firm)	Year 1: +£2M. Year 2: +£5M. Year 3: +£6.5M. Payback: 4 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Notion AI / Confluence AI	General-purpose — no proposal intelligence, no utilisation analytics.	Generic
Synthesis AI (Accenture internal)	Proprietary, not commercially available.	Internal only
Klarna/Jasper	Content AI only — no knowledge management, no utilisation, no proposals.	Content only

Integration Map

Connects to your existing stack

Knowledge management (Confluence/SharePoint)Project management (Smartsheet/Monday)CRM (Salesforce/HubSpot)Time recording (Harvest/Toggl)Finance (SAP/NetSuite)PowerPoint/Word storesLinkedIn Sales NavigatorProposal tools (Qwilr/Proposify)

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
Client data confidentiality — cross-matter contamination	Very High	Client data segregated at ingestion. No cross-client training or inference.
IP ownership — AI deliverables	High	Client owns all deliverables. Firm retains methodology IP. AI use disclosed in engagement letter.
Professional liability — AI-assisted advice	High	All AI-assisted work reviewed by qualified professional. PII coverage assessed.

Lowest-risk start: PoV Sprint

4-week PoV Sprint: Deploy Knowledge Intelligence + Proposal Intelligence against document library and last 20 proposals. Measure: research time per deliverable vs baseline, proposal quality score vs win rate. Investment: £30,000.

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment

Market Opportunity

A sector under transformation — now

$116B

market size 2025

26.3%

annual growth rate (CAGR)

Compliance Framework

Every regulation built in — not retrofitted

Professional Ethics (ICAEW/SRA/others)

AI outputs require professional sign-off. Integrity and objectivity standards apply.

Client Confidentiality — NDA Obligations

Consulting client data is highly sensitive. Cross-client contamination is a serious professional risk.

IR35 / Employment Status

Consulting workforce compliance. AI supports compliant contractor management.

GDPR — Client Data Processing

Client data processing requires lawful basis and processing agreements.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
Proposal Win Rate +34%	Current 30% win rate → 40.2%. On £10M annual proposals: £1.02M additional revenue.
Utilisation +12 points to 84%	200-person firm. £4M additional billable revenue.
Knowledge Reuse 67%	Research time 30% of consultant hours. £3M/yr capacity recovered on £15M payroll.
3-Year NPV (200-consultant firm)	Year 1: +£2M. Year 2: +£5M. Year 3: +£6.5M. Payback: 4 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Notion AI / Confluence AI	General-purpose — no proposal intelligence, no utilisation analytics.	Generic
Synthesis AI (Accenture internal)	Proprietary, not commercially available.	Internal only
Klarna/Jasper	Content AI only — no knowledge management, no utilisation, no proposals.	Content only

Integration Map

Connects to your existing stack

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
Client data confidentiality — cross-matter contamination	Very High	Client data segregated at ingestion. No cross-client training or inference.
IP ownership — AI deliverables	High	Client owns all deliverables. Firm retains methodology IP. AI use disclosed in engagement letter.
Professional liability — AI-assisted advice	High	All AI-assisted work reviewed by qualified professional. PII coverage assessed.

Lowest-risk start: PoV Sprint

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment

Market Opportunity

A sector under transformation — now

$116B

market size 2025

26.3%

annual growth rate (CAGR)

Compliance Framework

Every regulation built in — not retrofitted

Professional Ethics (ICAEW/SRA/others)

AI outputs require professional sign-off. Integrity and objectivity standards apply.

Client Confidentiality — NDA Obligations

Consulting client data is highly sensitive. Cross-client contamination is a serious professional risk.

IR35 / Employment Status

Consulting workforce compliance. AI supports compliant contractor management.

GDPR — Client Data Processing

Client data processing requires lawful basis and processing agreements.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
Proposal Win Rate +34%	Current 30% win rate → 40.2%. On £10M annual proposals: £1.02M additional revenue.
Utilisation +12 points to 84%	200-person firm. £4M additional billable revenue.
Knowledge Reuse 67%	Research time 30% of consultant hours. £3M/yr capacity recovered on £15M payroll.
3-Year NPV (200-consultant firm)	Year 1: +£2M. Year 2: +£5M. Year 3: +£6.5M. Payback: 4 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Notion AI / Confluence AI	General-purpose — no proposal intelligence, no utilisation analytics.	Generic
Synthesis AI (Accenture internal)	Proprietary, not commercially available.	Internal only
Klarna/Jasper	Content AI only — no knowledge management, no utilisation, no proposals.	Content only

Integration Map

Connects to your existing stack

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
Client data confidentiality — cross-matter contamination	Very High	Client data segregated at ingestion. No cross-client training or inference.
IP ownership — AI deliverables	High	Client owns all deliverables. Firm retains methodology IP. AI use disclosed in engagement letter.
Professional liability — AI-assisted advice	High	All AI-assisted work reviewed by qualified professional. PII coverage assessed.

Lowest-risk start: PoV Sprint

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment