
Blueprint Bid Engine™
The work estimators hate. Automated. You verify and decide. Six automations, project intake, requirement extraction, scope decomposition, cost and resource estimation, rule library, output and handoff.
Estimation as institutional memory. Senior estimators carry the knowledge. When they leave, it leaves with them.
/ TAX 01
Translation
Every customer writes scopes differently. Estimators translate between customer language and internal taxonomy before they can start.
/ TAX 02
Memory
Norms live in the heads of two or three senior staff. When they leave, the knowledge leaves. Junior estimators guess.
/ TAX 03
Calculation
Baselines looked up. Factors applied by hand. Math in a spreadsheet. Revised quote = start over.
/ TAX 04
Assembly
Cost estimate, quote, timeline, equipment list, crew plan, compliance report, each generated and formatted separately.
The six automations. Humans verify. Humans decide.
Blueprint handles the rest. Four tiles shaded below get the full deep-dive next, the ones that produce the biggest "oh, really?" reaction in demo.
Project Intake
Any format in → one structured project record.
Requirement Extraction
Unstructured scope → complete, validated questionnaire.
Scope Decomposition
Approved questionnaire → draft task list with reasoning.
Cost & Resource Estimation
Task list → personnel, equipment, costs, timeline, transparent formula.
Rule & Norms Library
Your institutional memory → versioned, auditable, editable.
Output & Handoff
Approved estimate → every deliverable document → CRM + ERP synced.
SaFour deep-dives ahead. Intake and handoff, the bookends, covered after.
Requirement Extraction.
Unstructured scope → complete, validated project questionnaire.
THE WORK TODAY
Estimator reads the scope document looking for the same twelve or twenty fields every time. Some fields are obvious. Some are buried in prose. Some are missing and the estimator emails the customer to ask. When the information finally arrives in three separate emails, somebody consolidates it into a project form.
Every bid starts with the same field hunt.
WHAT BLUEPRINT DOES
Hybrid pipeline extracts the required fields. Rules for predictable fields. NER for semantic content. LLM orchestrates. Every field carries its source, confidence, and provenance to the exact document region. Missing fields are flagged. Blueprint proposes targeted follow-up questions to send to the customer with one click.
Extraction with provenance. Gaps with questions attached.
WHAT’S LEFT FOR YOU
→ Review the extractions. → Verify edge cases. → Approve. Or skip the agent entirely and fill manually, the manual path is first-class, not an escape hatch.
Every bid starts with the same field hunt.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Scope Decomposition.
Approved questionnaire → draft task list in chronological order.
THE WORK TODAY
The estimator decomposes the project into tasks from memory or a checklist. Senior estimators do this fast. New estimators do it slowly and miss tasks. When they miss a task, the estimate is short, the crew is understaffed, and the project loses money.
A missed task is a losing bid, discovered at delivery.
WHAT BLUEPRINT DOES
A Decision Tree Engine reads the approved questionnaire, consults your rulebook, and generates a chronologically ordered task list. Every task has its triggering rule attached, why this task is in the list, which questionnaire fields put it there, which norms version applied. Nothing black-box.
Every task, with its reasoning visible.
WHAT’S LEFT FOR YOU
→ Review the task list. → Add tasks Blueprint missed. → Remove tasks that do not apply. → Reorder. → Approve. Institutional knowledge in the rule engine; your judgment on top.
Every bid starts with the same field hunt.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Cost & Resource Estimation.
Approved questionnaire → draft task list in chronological order.
THE WORK TODAY
Estimator looks up baseline hours per task, crew composition, equipment needed. Applies adjustment factors in their head or on paper, height, client, site, weather. Aggregates across tasks in a spreadsheet. Calculates cost. Checks the math. Usually two or three spreadsheets involved.
The math works. The audit trail doesn't.
WHAT BLUEPRINT DOES
Retrieves personnel and equipment norms for each approved task. Aggregates across tasks. Applies the transparent formula: baseline duration × adjustment factor = final time. Every calculation visible: what baseline was, which factors applied, why they applied, final number. User can override any value at any step.
Transparent formula. Override at any step.
WHAT’S LEFT FOR YOU
→ Accept the number. → Adjust factors. → Override specific values. The formula is on record. When procurement, finance, or legal asks six months later how a number was computed, the answer is a query, not a reconstruction.
How it was computed: a query, not a reconstruction.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Rule & Norms Library.
Your institutional memory → a versioned, auditable library.
THE WORK TODAY
Norms are in a spreadsheet Senior Estimator A maintains. Factors in a separate spreadsheet Senior B maintains. When A and B disagree, the argument happens in a meeting and gets forgotten. When either leaves, their knowledge leaves. Junior estimators guess.
Institutional memory in two spreadsheets and two heads.
WHAT BLUEPRINT DOES
Versioned, centralized repository of norms, factor rules, and triggering conditions. Templates ship as defaults; customized during scoping. Every change is versioned with author, timestamp, reason. Every historical estimate retains its rule-version reference. Estimates are reproducible six months later.
Memory on record. Reproducible at any point in time.
WHAT’S LEFT FOR YOU
→ Own the norms. → Decide which rules to formalize. → Adjust factors as your business learns. Blueprint holds the institutional memory. You decide what it remembers.
Blueprint remembers. You curate.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Why year three is more valuable than year one. Generic AI products say “gets smarter over time” as marketing. We can describe the mechanism operationally.
AUTOMATION 01
Project intake
THE WORK TODAY
Customer sends PDF, DOCX, XLSX, email, portal export. Somebody opens and retypes.
WHAT BLUEPRINT DOES
Upload, paste, or forward. Layout-aware parsing. Tables stay tables, forms stay forms. Normalized and ready.
AUTOMATION 02
Output & Handoff
THE WORK TODAY
Cost estimate in Excel. Quote in Word. Timeline in PDF. Equipment list. Crew plan. Then CRM. Then ERP. Then email.
WHAT BLUEPRINT DOES
Every deliverable generated from the approved estimate using your templates. CRM + ERP sync explicit. Email dispatch manual.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Why year three is more valuable than year one. Generic AI products say “gets smarter over time” as marketing. We can describe the mechanism operationally.
TIER 01
Autonomous
BLUEPRINT RUNS
Document intake, parsing, layout preservation, provenance capture, output document generation against templates.
HUMAN ROLE
Review audit trails. Adjust parsing config when new document formats appear.
TIER 02
AI-assisted
BLUEPRINT DRAFTS
Requirement extraction, gap analysis with clarification questions, task decomposition, resource aggregation, cost calculation with factor application.
HUMAN ROLE
Verify edge cases. Approve or override. Can bypass the agent entirely. Output authoritative after human confirmation.
TIER 03
AI-informed
BLUEPRINT INFORMS
Rule-library suggestions, similar-project comparisons, factor recommendations.
HUMAN ROLE
Make the decision. Blueprint never initiates, commits, or binds.
Per-tenant pattern library. No model fine-tuning on customer data. The library is the customer's asset, not portable to another vendor.
Close the loop. Win to procure.
Bid Engine + Procurement Engine = the full project lifecycle. What the customer pays for = what subcontractors get asked to deliver.
BID ENGINE
You win the project
THE APPROVED ESTIMATE CONTAINS
→ Personnel requirements → Equipment list → Material requirements → Delivery timeline → Cost stack + margin assumptions
PROCUREMENT ENGINE
You procure for it
BID'S STRUCTURE BECOMES
→ Demand forecast input → Vendor bid requirements → Subcontractor scope → Material procurement lists → Margin reconciliation baseline
Customers running both describe it as "the loop closes." Neither engine alone does. The combination does.
What Bid Engine is not. Four categories we deliberately do not enter.
Good positioning is subtractive. These are the tools we sit next to, and the boundary we commit to respecting.
CRM
Salesforce · HubSpot Dynamics · Pipedrive
They own pipeline. We push estimates into them.
Proposal management
Loopio · Responsive (RFPIO) Qvidian · Proposify
They manage proposal collaboration. We produce the estimate inside.
CPQ (Configure-Price-Quote)
Salesforce CPQ · Oracle CPQ · Apttus
They quote catalog products. We estimate project effort.
Competitive intelligence
Klue · Crayon · Kompyte
They track competitors. We surface your own data.
A scoping conversation. 45 minutes, architect-to-architect.
No slides. No demo choreography. A conversation about what Bid Engine could honestly do in your environment.
01
We ask three things.
Your project types. Your institutional norms. How much is written down vs. in people's heads.
02
We do not pitch.
No slides. No demo choreography. An architect's conversation about what Bid Engine could honestly do in your environment.
03
We tell you if it's not a fit.
At the end of the call, if Bid Engine is wrong for you, we say so. We are uninterested in selling it to customers it does not serve.
“Their ability to combine strong engineering with clear product thinking made a real difference for our teams. Communication was smooth, delivery was consistent, and the results exceeded expectations.”
— Head of Engineering, Global Industrial Client
1/3 What are you building?