Noetis Sales · Business engine
Sales Account Brief API
Prepares an account brief from authorized CRM data and supplied materials.
Answers: "Can an engine prepare an account brief from documents we export?" For account executives.
Live CRM access is not available. The engine uses only exports and documents you supply.
Available today
ImplementedImplemented: runs on the shared runtime with supplied material. One bounded development check on 2026-10-12 took 107.4s with 13 model calls and ended "incomplete". That is a development signal, not an evaluation. Customer access is by approved account.
What you send
- Question
- Supplied text material
- Text material up to 150,000 characters per run
What comes back
- Account brief and meeting preparation.
- Findings with the located quote and a support status from claim review
- Release status: released, incomplete with reasons, or failed
- Executed roles, usage and measured cost
Sample
Authored illustration. Written by Encevra to show the workflow. Not customer data and not a recorded model output.
Prepare a brief for Thursday's meeting with Northwind.
CRM notes: Northwind, 220 staff, using spreadsheets for scheduling. Contact: ops director, said budget "maybe next year". They asked about API access. Our product has an API. No decision maker identified.
- Account facts quoted from the supplied documents
- Open questions and risks for the next conversation
- Gaps where the exports are silent
The real response shape is documented in the API reference.
How the workflow operates
Each role is a responsibility in the workflow, served by a third party language model. More roles are not automatically better; depth and routing decide which run.
Models this engine uses: OpenAI (GPT), Anthropic (Claude), SpaceXSI (Grok). Specialists run on OpenAI models and the claim review and final brief on Anthropic models. If a provider has a temporary failure, the step can fall back to an OpenAI model, and the run records that.
Account Researcher
Summarize verified account facts.
Needs Mapper
Match evidenced needs to product capabilities.
Deal Reviewer
Identify missing qualification evidence and blockers.
Conversation Planner
Draft discovery questions and next steps.
Evidence and deployment
Evidence
This engine reads the text you send in the request. Each released finding carries the exact quote and its character span in that text, located mechanically before release. Quotes that cannot be located are labelled Insufficient evidence and never shown as source verified. Interpretation is reviewed as a separate step, and gaps such as a missing clause describe what was searched instead of citing text that is not there.
Deployment
Runs on Encevra hosted infrastructure using the third party models listed above. Every model call and fallback is checked against the deployment policy first. Private cloud and air-gapped deployment are planned; discuss deployment requirements.
What it does not handle
- Sending outreach
- Inventing relationships, buying intent or CRM activity
- CRM read access is not available: Not built.
- Uses only supplied material. No freshness guarantee beyond the documents provided.
- Required for every output during trials.
How to integrate
Send "engine": "sales" with your question and material from your server. Keys stay server side.
How to evaluate it
No published result for this workflow yet. Build a small answer key from your own work and compare against a strong single model baseline. See the evaluation checklist and method.
Cost and rights: pricing and licensing. Showing outputs to your own customers needs a written agreement.
Related engines
Content reviewed 2026-10-12 by the Encevra engine team. Engine version 0.1.0 on noetis-core-1.



