Not a template. The engine reads your client's intake, runs a 10,000-iteration Monte Carlo revenue simulation, scores their investor readiness against a 9-criterion rubric, and writes a full report your consultant walks into the meeting with, before the client sits down.
Every section is written from what your client told you in intake, and two checks look for anything their answers do not support. AI can still make mistakes, so you review the report before it goes out.
Current channels, bottlenecks in acquisition, and specific gaps between what they said and what's actually working.
Delivery capacity, service quality risks, single-points-of-failure in how the work gets done.
Cash position, unit economics, margin pressure, direct from their financial-health answer and revenue band.
Where the team constraints will bite as growth compounds. What roles are missing.
Coherence check. Does the 12-month plan line up with the bottlenecks and the resources they described.
The one-page version your consultant can reference in the meeting or send with a follow-up.
Ranked list of what to do in what order, tied to the bottleneck the client themselves named as the biggest.
Where the next $100k, $250k, $1M realistically comes from, given what they told you.
What actually sets them apart vs. what they *think* sets them apart. Rarely the same thing.
Concrete milestones by quarter, aligned to their stated goals and their existing capacity.
The specific next 2-3 things your consultant should walk the client toward. Ends the doc.
10K-iteration Monte Carlo revenue simulation, integration-scenario side-by-side (status quo vs. recommendations applied), AI Adoption Impact projection with cited research.
Deterministic 0-100 rubric across 9 criteria that read what the intake says about the business: scale, owner dependence, margin and cash, predictability, systems and plan. Colored gauge, tier label, per-criterion breakdown. A planning indicator, not a valuation.
This is the actual rendering that appears in the blueprint. 10,000 iterations sampling from industry priors plus the client's own inputs. Bands span the P10 (conservative) to P90 (upside) range.
Monte Carlo over reported growth rate, industry seasonal pattern, and churn priors. Priors version: vf-priors-v2-2026-06-15.
The report also includes an Integration Scenario chart that renders the same P10/P50/P90 band a second time. This time with every ranked opportunity from the diagnostic applied and confidence-weighted. Side-by-side "what happens if you do nothing" vs. "what happens if you ship the priority actions." Honest about the independence assumption between opportunities.
Not a vibe check. A 9-criterion weighted rubric defined by VentureFrame. It scores what the answers say about the business, not how many questions were answered, and where a number was not stated it says so and scores low. The reasoning is printed on every line so your client can push back on any number. It is a planning indicator, not a valuation or investment advice. The table below is an illustrative example, not a real client.
| Criterion | Weight | Score | Reasoning |
|---|---|---|---|
| Scale | 12% | 70/100 | Revenue midpoint $750,000 |
| Team depth and owner dependence | 14% | 65/100 | Team of 6 |
| Margin and cash cushion | 14% | 75/100 | Stated net margin 15%; cash cushion about 12 weeks |
| Revenue predictability | 10% | 70/100 | Recurring or contract revenue mentioned |
| Customer acquisition spread | 10% | 75/100 | Channels named: referrals, search, social |
| … plus 4 more criteria (unit economics, systems and documentation, 12-month plan specificity, self-awareness) … | |||
The 10,000-run revenue projection and the Investor Readiness Score are calculated by code from the intake answers, not written by the AI. The projection uses a fixed random seed, so the same inputs give the same result.
A second AI pass reads the written draft against the client's intake answers and corrects specifics that the answers do not support.
Code checks every dollar figure and percentage in the written report against the client's answers and the engine's output, and lists any it cannot trace so a person can look. It flags; it does not rewrite.
Code puts the written sections in the same order every time and then appends the revenue projection and readiness score, so every report has the same 13 sections.
You can edit the report in your dashboard before the client sees it. AI can still get things wrong, so read it.
The client's full intake answers sit next to the report in your dashboard, so you can check any claim against what they actually said.
The auto-generated report is prep, not the deliverable. When you sit with the client, you use the report as context and run through a set of in-person follow-up questions the brain wrote specifically for this client. Number of questions varies, a clear intake might warrant 5, a messy one 25. The engine tells you the stopping criteria.
The brain reads the client's intake AND the auto-generated blueprint, then writes as many follow-up questions as the case actually needs. Each question comes with a "why this matters" note for the consultant. You can ask the brain for ONE MORE mid-session, it'll either give you a new question or tell you it's a good stopping point.
You capture the client's answers in the session panel. Click "Complete session" when done. The engine integrates (a) intake + (b) blueprint + (c) your session notes into a final polished deliverable, emails it to your client with your agency branding, and drops it in your CRM as their permanent record.
Three ways to deliver the final diagnostic, all built into the dashboard:
Opens a modal, add an optional personal note, click Send. Your client receives the full 13-section report, investor readiness gauge inline, from your agency name.
One-click print-formatted page. Client can save as PDF, print letterhead, or forward as a file. Your agency name in the header.
A private link they can bookmark and revisit. Stays in your dashboard's client record permanently.
After the first session, the client keeps using the same system every day. They work the running plan one move at a time, and they can ask the AI consultant anything that comes up — it has read the whole diagnostic.
Before each next review meeting, the pre-meeting rollup aggregates what the client did since you last spoke: priority actions they checked off, what they asked the specialist, how their investor readiness score moved. The engine writes you five to seven tailored follow-up questions grounded in that activity. If the engine is unreachable the rollup still returns a deterministic agenda, so the meeting goes ahead regardless.
You still review every diagnostic before it goes to the client. The daily tool between meetings doesn't change that.
The Monte Carlo projection and investor readiness score are ready the moment the intake is submitted. The full written diagnostic, fact-checked against the intake answers, usually takes about five minutes. Your consultant follow-up questions pre-generate in the same window. You'll have everything before you open your dashboard for the first time after the client submits.
It can, which is why there are two checks. A second AI pass reads the draft against the intake answers and corrects specifics they do not support. Separately, code compares every dollar figure and percentage in the draft with the client's answers and the engine's own numbers, and lists any it cannot trace so a person can look. Those checks reduce the risk; they do not remove it, so read the report before it goes to your client.
No. 10,000-iteration simulation using industry-specific priors (management consulting, marketing consulting, financial advisory, etc.), sampling growth rate from Normal, churn from Beta, seasonal drop from a per-industry distribution. Priors are versioned (currently vf-priors-v2-2026-06-15) and shown at the bottom of the block. Full methodology available on request.
Nine weighted criteria: scale (12%), team depth and owner dependence (14%), margin and cash cushion (14%), revenue predictability (10%), customer acquisition spread (10%), unit economics (10%), systems and documentation (12%), 12-month plan specificity (10%), self-awareness (8%). Deterministic. Same intake gets the same score every time. Where the intake does not state a number, the criterion says so and scores low. A planning indicator, not a valuation or investment advice.
Yes. Full markdown edit view in your dashboard. Nothing sends automatically to the client, you review and hit Send when ready.
It is written by AI, from your client's own answers, and we do not hide that. The instructions ask for plain words and for the client's own details instead of filler. The second-pass and the number audit still don't catch everything. Read it before it goes out and edit anything that does not sound like you.
One button on the blueprint tab: "Regenerate." Reruns the brain + Monte Carlo + investor readiness on the current intake state. Prior versions stay in the client record so you can compare.
Three options built in: (1) Send via email with an optional personal note, (2) Print or save as PDF one-click, (3) share a private link. All with your agency name in the header.
VentureFrame is on the deliverable and you are credited as the consultant who ran it, in every email, every print header and every shareable-link header. VentureFrame stays VentureFrame; your licence is unlimited clients, not a rebrand.
Same-day. You get access immediately after payment lands. First client can complete intake within the hour, first diagnostic in your dashboard within about five minutes after that.
Book quick. I'll walk you through a real intake → real blueprint → real investor readiness gauge, and answer anything I didn't cover here.
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