Diligence / Investment committee

Diligence built around your firm’s questions.

Design models and agents to organize documents, investigate open questions and prepare reviewable investment materials in the format your team actually uses.

01 / The opportunity

Better diligence preparation. Investor judgment intact.

The work before investment committee varies widely across funds. A commissioned system should reflect your checklist, evidence standards, committee templates and review responsibilities.

Custom engagement area / not an off-the-shelf product

02 / How this workflow really operates

The memo is the end of the work, not the work itself.

Diligence crosses materials with different levels of reliability: decks, contracts, research, interviews, financials and expert judgment. The challenge is retaining traceability from a committee claim back to its source.

Design question / 01

What must be verified before committee?

Design question / 02

How do reviewers document conflicts and missing evidence?

Design question / 03

What is the required IC memo structure and sign-off?

03 / What a fund might commission

Designed for a defined job.

The specific model, agent behavior, integrations and sources would be agreed for the engagement. These are illustrative applications of the approach.

01 / Application

Data-room analysis

Locate relevant evidence across approved diligence materials and identify missing inputs.

02 / Application

Research synthesis

Bring commercial, market, operational and competitive findings into one reviewable picture.

03 / Application

IC materials support

Draft structured memo sections and briefs for investment-team review, with source references.

04 / System anatomy

Inputs, intelligence, oversight, output.

  1. Fund contextApproved inputs + process
  2. ModelDefined reasoning + output rules
  3. AgentScoped task execution
  4. Investor reviewEvidence, approval + action
The fund provides / to be scoped

Relevant context

  • Diligence checklists and memo templates
  • Permitted data-room documentation
  • Approval and review requirements
The system produces / to be validated

Reviewable outputs

  • Source-linked diligence summaries
  • Open-question and exception logs
  • Draft committee materials for review
05 / What the fund would see

A useful system produces something reviewable.

The proposed output below is an illustrative interface structure, not evidence of a built deployment. Actual deliverables depend on scoping and evaluation.

Illustrative output / not a product screenshot

Diligence evidence register

Designed to retain the reasoning trail from inputs through investor review.

Example labels only · not an actual investment recommendation
SONEXA LABS / DILIGENCEEXAMPLE / NOT LIVE DATA
01TOPIC / FINDING / SOURCE / OWNER
02Source-linked findings organized by the fund’s checklist
03Gaps, conflicts and unresolved diligence requests
04Draft IC summary marked for investor verification
Requires fund review
06 / Example engagement
Illustrative scenario · not a completed client project

What a tailored engagement could look like

A fund with a detailed investment committee template commissions agents to organize due-diligence materials into a first draft. Analysts validate sources and partners make the investment call.

07 / Design boundaries

Specific scope. Clear review.

The model’s responsibilities, evidence requirements and approvals should be explicit before the build begins.

Accountable person

Partner / Principal / Investment committee lead

Review boundary: Deal team verifies material claims; authorized decision-makers retain investment approval.

Why tailored: A fund-specific agent follows the committee’s evidence standards and document structure instead of generating a generic investment memo.

  1. Cite source documents for material assertions.

    01
  2. Escalate conflicting or missing evidence.

    02
  3. Never treat a generated IC memo as final without review.

    03
A working conversation

Have a workflow worth building around?

The right first step is a conversation about your existing process, your data and the result your team needs.