Sales / Sales Engineering Live
Solution Blueprint
Describe what the customer needs and get a solution architecture written against your own standards, with every component justified and every deviation from standard called out.
About the Agent
Challenges Solution Blueprint addresses
Done by hand, sales engineering means gathering what the customer needs and blueprint settings, working through 3 separate passes over the same material, then producing solution blueprint, components and against your standards. None of it is difficult and all of it is exacting, which is the combination people are worst at holding. The errors that matter are the ones a tired reader does not notice, and they surface later — in a reconciliation, or in somebody’s reply. It waits until someone remembers it, which is usually the point at which it has become urgent. As volume grows the work does not get harder, only longer, and the first thing to go is the checking.
Solution Blueprint runs that same sequence end to end and returns the result as structured artefacts. What it cannot settle it hands over rather than guesses at, and your correction is kept: it asks “Would an SE take this into a technical call?” after every run, and those answers become the set it is measured against. Nothing that moves money, alters a contract or reaches a customer executes without human approval, and every action is written to an audit log. The gain is in the volume that no longer has to be read, not in removing the judgement.
How it works
Step 1: Looking up your architecture standards
First of 3. It works from what the customer needs and blueprint settings and feeds the step after it.
Key Tasks:
- Covering the whole set: Every record in scope is examined, not a sample. That is the difference between a run and a spot check.
- Judging relevance by content: Whether something belongs in this run is decided from what it says rather than from where it was filed or how it was named.
- Discarding visibly: What is excluded is recorded as excluded, so "nothing found" can be distinguished from "nothing looked at".
Outcome:
- Relevant items found: They pass to the next step with the reason they were selected attached.
- Nothing relevant: The run reports that it found nothing and stops, rather than producing an empty artefact that reads like a failure.
Step 2: Designing against the standards
Step 2 of 3. It takes what step 1 produced and hands its result to step 3.
Key Tasks:
- Working from the run so far: This step takes what step 1 produced and carries it toward step 3.
- Following the same rules each time: The behaviour is configuration rather than judgement made fresh per run, so sales engineering is handled the same way every time.
- Surfacing what it cannot settle: Anything ambiguous is passed on as ambiguous rather than resolved silently.
Outcome:
- Passed on: The result passes to the next step, with anything unresolved carried forward as an open item rather than dropped.
Step 3: Writing the blueprint
Last of 3. It takes what step 2 produced and produces solution blueprint and components.
Key Tasks:
- Writing from the run, not from a template: The text is built from what this run actually found, so two sales engineering outputs differ where the underlying records differ.
- Leading with what needs a decision: The exceptions come first and the routine detail follows, because the reader is deciding rather than reading.
- Staying inside the evidence: Nothing appears in the text that is not supported by a record the run examined. Gaps are stated as gaps.
Outcome:
- Artefact ready: A finished artefact, traceable line by line to the records behind it, ready for a person to accept or correct.
Step 4: Your review, and what it changes
The run ends with a person, not with a result being filed.
Key Tasks:
- Asking a specific question: It asks “Would an SE take this into a technical call?” rather than for a rating. A question about this run is answerable; a score out of five is not.
- Keeping the correction: What you change is recorded against the case that produced it, so the disagreement is retrievable rather than absorbed.
- Building the evaluation set: Those cases become what the agent is measured on. It is scored against your judgement rather than against a general benchmark.
Outcome:
- A measured agent, not an assumed one: The cases Solution Blueprint handles well and the cases it does not are both visible, and the second list is the one that decides what changes. Nothing is retrained silently on the back of a single correction.
Why use Solution Blueprint?
- Answers from your own material: It retrieves from a knowledge base you populate — your policies, contracts and reference documents — so its decisions follow how your business actually operates rather than a general model’s assumptions. Sources are cited alongside the result.
- Every statement cites its source: Findings come back with the records behind them, so a reviewer can check a claim instead of deciding whether to trust it. An assertion with no source is the expensive kind to discover late.
- Checks are evidenced, not asserted: Each check records what was expected and what was found. A failure can be understood — and argued with — without re-running anything.
- A batch is one run, not a hundred: It works the whole set in a single pass and returns a row per item with its verdict, so the volume that needs no attention never has to be opened.
- Corrected by the people using it: After each run it asks “Would an SE take this into a technical call?”. Those answers become the evaluation set, which means it is measured against your judgement rather than ours.
Oversight
Runs under scoped, least-privilege credentials with every action written to an audit log. Anything that moves money, alters a contract or reaches a customer requires human approval before it executes.
Sales Engineering
Other agents in sales engineering
Pipeline, proposals, renewals and the CRM hygiene underneath them
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Turn agreed requirements into acceptance tests the customer would sign off — each traceable to a requirement, prioritised, with the untestable ones named.
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Take rough requirements from a discovery call and turn them into ones an engineer could build against — with everything still ambiguous written as a question rather than resolved by guessing.
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Score which solution components actually fit a customer's requirements, by feasibility rather than by what would be nice to sell.
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Paste discovery notes and get them turned into user stories with acceptance criteria — and an explicit list of what the notes do not say clearly enough to write.
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Check an account plan against what a plan is supposed to contain — whether its actions have owners, whether its targets are grounded, and whether it says anything the data does not support.
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Name an account and get external signals searched for anything that changes your plan — funding, restructures, leadership moves, regulatory news — with what is corroborated separated from what is rumour.
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Next Step
Deploy Solution Blueprint, or adapt it
It runs as-is. Most deployments diverge — a different source system, a different tolerance, a different approval path. A 30-minute technical call establishes which.