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Colabra

Give recurring diligence a dedicated workflow.

Colabra brings the structure of M&A diligence to AI-assisted work: deal files, review requirements, findings, requests, and reports. Choose it when the team needs a shared process for producing source-linked findings, financial models, and investment memos across successive deals.

Begin with the diligence structure

Organize the work around the review your team is responsible for delivering.

Keep the evidence with the conclusion

Connect findings to supporting material and retain the outstanding questions that affect confidence in the result.

Make the output the working surface

Work toward models and memos that reviewers can inspect and improve as the deal develops.

Follow a finding into the model and memo →

Define the exact Google product before comparing workflows

A capable enterprise assistant can analyze files, generate work products, and connect to tools. The case for a dedicated workspace must therefore rest on practical workflow value: the structure, review process, and ongoing operating effort needed for recurring diligence.

Google Gemini

Google offers Gemini within its enterprise productivity environment and broader enterprise AI offerings. Workspace assistance and separate enterprise agent products have different scopes and purchasing requirements.

Google Gemini product documentationReviewed 9 September 2026

Colabra

Colabra is an AI workspace for M&A due diligence, organized around deal files, review requirements, findings, requests, and reports. Its focus is helping buy-side teams turn sell-side material into source-linked findings, financial models, and investment memos.

Explore the Colabra workflow →

Where each approach fits

Consider Google Gemini when…

Your organization already has a capable enterprise assistant, approved connections, and people who can maintain reusable instructions and review practices. Start there as a serious baseline. Its breadth can be valuable across tasks well beyond M&A.

Consider Colabra when…

Recurring deal work benefits from an agreed structure for evidence, review requirements, findings, and deliverables. Assess whether that structure reduces setup and coordination effort enough to justify a dedicated workspace alongside existing AI licenses.

Using them together

Define which system owns the accepted deal record. An enterprise assistant can remain useful for general work, but transferring a conclusion into diligence should include its supporting evidence, assumptions, and review status rather than only the generated prose.

Three tasks to bring to the pilot

Use a messy deal folder, an approved checklist, a source spreadsheet, and a memo template, using the connections your tenant actually permits. Give both workflows the same scope, access, and expected deliverable: a source-supported finding, a calculation, and a memo a second reviewer can revise. Have the people who will own the work perform the review.

  1. 01

    Use your actual enterprise configuration

    Identify whether the pilot uses Gemini in Workspace, the Gemini app, or a separate enterprise agent offering. Record the license, available connections, and administrative setup so the comparison can be reproduced.

  2. 02

    Test continuity across people and revisions

    Use a Drive folder, a spreadsheet, and a draft memo in the team’s normal process. Ask another reviewer to trace a material conclusion and repeat the analysis after a revised source arrives.

  3. 03

    Measure what must be maintained

    Have an internal operator modify a review requirement and repeat the workflow without vendor preparation. Track configuration effort, permissions review, error handling, and the time needed to verify the final output. Include existing licenses in the cost baseline.

Judge the reviewed result

Agree the acceptance criteria before the demonstration. Record the evidence behind each assessment so the decision can be revisited after the pilot.

CriterionQuestion to answerHow to check
Evidence qualityCan a reviewer locate the controlling source and explain how it supports the exact conclusion?Record unsupported statements, incorrect references, and ambiguity that the output hides. A source link is useful only if the source substantiates the claim.
Coverage and exceptionsCan the team tell what was reviewed, what failed to process, and what is still missing?Seed a missing attachment and an unreadable file. The reviewer should distinguish incomplete evidence from a clean result and know what to request next.
Revision and handoffCan another person challenge the finding and update the work after new evidence arrives?Repeat one material change. Count the places that need manual updates and check whether the new memo still agrees with the supporting analysis.
Operating effortHow much setup, specialist review, administration, and coordination does the completed task require?Measure total reviewer time through an accepted deliverable. Include correction and handoff time, not only time to the first generated draft.

Use a simple result for each criterion: demonstrated, requires configuration, or unresolved. Do not turn an unanswered question into a feature claim. Ask for a follow-up demonstration when a material requirement remains unresolved.

Compare the cost of the complete workflow

Start with licenses and services already in place. Add implementation, permitted usage, storage, external reviewers, specialist review, support, and the internal time needed to maintain the process. Request a written quote for your actual configuration; a generic seat price will not describe every deployment.

Before the pilot

Confirm the product edition, available connections, document limits, access roles, and who can configure the workflow. Agree which sample material is authorized for the evaluation and which deliverables the reviewers must produce.

Before adoption

Review the proposed data handling, retention, access, and contractual arrangements. Test export and handoff with the people who will own the deal record after close. Include source references and unresolved questions in that final package.

Compare total effort through the first accepted result and one meaningful revision. If your existing workflow performs well, keeping it is a valid outcome. If another approach wins, identify the specific task it improves and the changes needed to make that improvement repeatable.

Make the comparison on your work

Bring a representative review, its source files, and the output your team needs to deliver. Walk through the evidence, open questions, and reviewer handoff in Colabra.

Book a working demo →