AttestaTrust Intelligence Infrastructure
How a shared diligence record worksPrototype · illustrative data
For reviewers, investors, and institutional buyers

Why nonprofit and borrower diligence repeats every cycle

Grantee due diligence, CDFI borrower readiness reviews, and corporate partner vetting all re-collect the same organizational evidence, cycle after cycle. A single maintained record, read through each institution's own decision lens, replaces that re-collection. That is the wedge. Everything below is the honest case for why it can compound — and what is still unproven.

Wedge

Stop re-collecting the same evidence every review cycle.

Buyer

Named institutional teams with a recurring, dated job.

Expansion

From one workflow to portfolio monitoring, reporting, and adjacent trust decisions.

Read this page in about 90 seconds.

The wedge
Before Attesta — one renewal, today

Four people rebuild context that already existed

  1. 1Analyst

    Searches inbox, shared drive, and last cycle's folder for the most recent financials, board list, and insurance certificate.

    Left behind: A local folder nobody else can find next cycle.

  2. 2Program officer

    Emails the organization a document request that largely repeats last year's, because nobody is sure what is still current.

    Left behind: A thread. The organization re-sends what it already sent.

  3. 3Reviewer

    Rebuilds the assessment in a spreadsheet copied from the last one, with criteria that live in someone's head.

    Left behind: A spreadsheet version with no origin for any number.

  4. 4Committee

    Reads a memo assembled by hand the week before, and asks where two figures came from.

    Left behind: A decision whose basis is hard to reconstruct a year later.

The work is real, but almost none of it accumulates. Next cycle starts here again.

With Attesta — the same renewal

The same four people work on one maintained record

  1. 1Analyst

    Opens the organization's maintained record. Every field carries an origin and a date, so what is current is visible without asking.

    Left behind: Nothing to assemble — the record is the working surface.

  2. 2Program officer

    Sees only the gaps the institution's own lens marks as missing or stale, and requests exactly those.

    Left behind: A receipted request, visible to both sides, scoped to the gap.

  3. 3Reviewer

    Reviews privately against written criteria and thresholds the institution configured once, not re-derived per deal.

    Left behind: A private review attached to the record, reusable next cycle.

  4. 4Committee

    Reads a summary generated from the same record, with each material claim traceable to its origin and date.

    Left behind: Decision history that survives staff turnover.

The same hours produce something the next cycle can start from.

Structural comparison, not a measured result. How many hours this displaces for your team is one of the things a pilot is designed to find out, using your baseline rather than ours.

The first buyer, and the job they repeat
CDFI credit / portfolio lead
Recurring job

Re-underwrite and monitor the same borrowers across annual reviews without re-collecting financials each time.

Trigger event

An annual or covenant-driven credit review comes due.

Foundation program officer
Recurring job

Assess grantee readiness and stewardship across a renewal cycle, and keep visibility between grant periods.

Trigger event

A grant renewal or multi-year reporting checkpoint approaches.

CSR / procurement partnership lead
Recurring job

Vet and re-vet community or supplier partners against the same standing criteria, year over year.

Trigger event

A partnership renewal, compliance refresh, or new program cycle starts.

Why now — hypotheses, not proof

Each driver below is a stated hypothesis being tested in live pilots. None is backed by a measured statistic here — none is invented, either.

Hypothesis
Rising diligence and reporting expectations

Institutions are being asked to document more of the reasoning behind each decision, not just the outcome.

Hypothesis
Portfolios growing faster than analyst capacity

The number of relationships a team is responsible for is outpacing the staff time available to review them.

Hypothesis
Evidence and provenance expectations

Reviewers and funders increasingly want to know where a claim came from and when it was last true, not just the claim itself.

Hypothesis
Funders demanding continuity between cycles

Visibility that disappears between application windows is becoming harder to justify to boards and funders.

The structural argument for a moat — not an achieved one

These are the mechanisms that could compound over time. None of them is a defensible moat today — each depends on usage and enrollment that has not happened yet.

Reusable maintained records

A record built once can be read by more than one institution, if the organization grants access.

Configured decision lenses

Each lens encodes an institution's own workflow, making it costly to rebuild elsewhere.

Accumulating decision history

An audit trail that grows with every review becomes harder to walk away from over time.

Two-sided switching cost

As more of an institution's network is enrolled, both sides have more reason to stay.

Expansion path
In motion
Institution-network readiness

An institution invites the organizations it already works with into one workspace.

In motion
Portfolio monitoring between cycles

Staleness and missing evidence surface continuously, not only at application time.

Not built
Reporting / audit output

Committee-ready summaries and an exportable audit trail as a by-product of normal use.

Not built
Adjacent institutional trust workflows

Procurement vetting and coalition-level shared diligence across institutions.

Evidence and validation
Pilot commitments captured in-product
No verified data yet

Will show named pilots with a written start date and scope, recorded directly in the product — not a slide.

Founder interviews
No verified data yet

Will show a running log of institutional practitioner conversations that shaped the current lens and workflow design.

Live workspace usage
No verified data yet

Will show workspace and record activity once real institutions and organizations are using the live product.

Why the founder can execute this
Founder-led discovery

Every pilot conversation and design decision so far has run through the founder directly, not a sales layer.

Hands-on problem ownership

The workflows in the product were shaped by sitting inside the actual review process, not inferred from a distance.

Direct practitioner access

Institutional reviewers and program leads are reachable and consulted directly, without an intermediary.

Built end-to-end by the founder

The product, from data model to interface, is built and operated by the founder — nothing here is outsourced.

See it for yourself

The product, the pilot terms, and the data and legal posture are all open — no gated deck required.