How to Evaluate an AI Consulting Proposal: A 7-Line Audit
Three proposals arrived. One is two pages, one is twenty slides, one is a single email. The numbers differ, the promises rhyme, all three are persuasive. Which ones are actually describing the same work? 🔍
An AI consulting proposal is audited on seven lines: scope, deliverables, timeline, team, measurement, data-confidentiality, exit. Fill those in and proposals land in one table, turning the comparison from a price race into a scope conversation.
This article gives the seven-line audit, the scoring table, the warning signs and the correct negotiation order. Open your proposals and keep this page beside them. 📊
The 7 Lines to Audit in an AI Consulting Proposal
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- Lines 1-2: scope and deliverables
- Lines 3-4: timeline and team
- Line 5: measurement
- Lines 6-7: data and exit
Seven lines translate differently formatted proposals into one language. 📋
An AI consulting proposal reads on seven lines: (1) scope — which service headings are included, (2) deliverables — which documents you’ll actually receive, (3) timeline — which work when, (4) team — who works, how many hours, (5) measurement — which number defines success, (6) data-confidentiality — how information is protected, (7) exit — what’s handed over on departure. Every blank line is a hidden cost candidate.
Lines 1-2: scope and deliverables
Scope maps to the six headings in AI consulting services; deliverables should be named documents, not the word “report.”
Lines 3-4: timeline and team
Who works matters: the pattern of sending seniors to the pitch and juniors to the work is common.
Line 5: measurement
Which number, reported how often? A proposal without measurement is an unauditable proposal.
Lines 6-7: data and exit
Confidentiality provisions and the handover list; contract equivalents in AI consulting contract. 🔐
Scoring AI Consulting Proposals
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- Why scoring helps
- Reading the cheap proposal
- Reading the expensive one
- If scores tie
With seven lines filled, proposals become scorable. Simple scale, fast decision. 🧮
Score each line 0-2: 0 not written, 1 covered by a generic phrase, 2 concrete and measurable. Anything below 10 out of 14 gets signed with missing information, whatever the price.
Why scoring helps
The price argument becomes a scope argument — which is the right argument.
Reading the cheap proposal
Low prices usually come from a deleted line — most often measurement or training. Bands in AI consulting fees.
Reading the expensive one
A high price justified by seniority and depth is reasoned; one justified by slide count is not.
If scores tie
Call references: two current clients, one question — “would you hire them again?” 📞
Warning Signs in an AI Consulting Proposal
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- Guaranteed gains
- Price without data
- Account ownership
- Proprietary-method defence
Some phrases end the evaluation on their own. Five flags; two together means leave the table. 🚩
The warning signs: a guaranteed percentage gain (“we’ll raise productivity by 40%”), a firm price given without seeing data, no measurement line at all, a suggestion that accounts open in the consultant’s name, and a “our method is proprietary” defence. All share one root: avoiding accountability.
Guaranteed gains
Gains depend on process and team; a percentage guarantee is a sales sentence, not a commitment.
Price without data
Quoting firmly without seeing your processes means selling a ready-made mould.
Account ownership
Subscriptions and platform accounts open in the company’s name. This clause is non-negotiable.
Proprietary-method defence
A good consultant explains their method; what’s sold is discipline, not mystery. Filter in how to choose an AI consulting firm. 🔓
The Negotiation Order for AI Consulting Budgets
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- Step 1: narrow scope
- Step 2: internalize implementation
- Step 3: simplify reporting
- The two untouchable lines
Audit done, decision close. In negotiation, what gets cut and what doesn’t? 🤝
The right order: narrow the scope first (fewer flows, a tighter start), then move implementation hours in-house, then simplify reporting. Only when those three are exhausted does price get discussed. Negotiations that open on price cause cuts in invisible places.
Step 1: narrow scope
Two flows instead of three. Gains slow down but quality holds.
Step 2: internalize implementation
Content entry and routine work stay with your team; the consultant briefs and reviews.
Step 3: simplify reporting
A one-page scorecard instead of a deck. Same information, less labour.
The two untouchable lines
Diagnosis depth and measurement. Cut those and the project doesn’t get cheaper — it becomes unauditable; the full arc sits in AI consulting process. 🛡️
Field Notes 📝
The scene repeats in proposal comparisons: two quotes sit twofold apart, and once the seven lines are filled the gap almost closes — because the cheap one contains no training and no measurement. Clients usually think they’re negotiating price; they’re negotiating scope without noticing.
Quick Glossary 📖
Deliverable: a concrete document you receive. Seniority swap: pitching with seniors, delivering with juniors. Handover list: what’s delivered at exit. Scorecard: the monthly one-page results sheet.
Quick Summary ⚡
- An AI consulting proposal is audited on seven lines: scope, deliverables, timeline, team, measurement, data, exit.
- Score each line 0-2; below 10 out of 14 the proposal gets signed with missing information.
- Five warning signs: guaranteed gains, price without data, no measurement, account-ownership requests, proprietary-method defences.
- Negotiate in order — scope, implementation hours, reporting format; never diagnosis depth or measurement.
Next Step 🎯
Bring your proposals: we’ll fill the seven lines together, score them, and mark what’s missing. Visit our AI consulting page or get in touch.
Frequently Asked Questions
External source: AI management system standard at ISO/IEC 42001.
Sık Sorulan Sorular
On seven lines: scope, deliverables, timeline, team, measurement, data-confidentiality and exit protocol. Score each 0-2; below 10 out of 14 the proposal is signed with missing information regardless of price.
Five: guaranteed percentage gains, a firm price given without seeing your data, no measurement line, a request to open accounts in the consultant’s name, and a claim that the method is proprietary and can’t be explained.
In order: narrow the scope to fewer flows, move implementation hours to your own team, simplify reporting to a one-page scorecard — and never cut diagnosis depth or the measurement line, since that makes the project unauditable rather than cheaper.