Public and Funded Programs

Check it before the money moves.

Eligibility, claims and acquittal are checked by people reading documents against an agreement. We move the checking into a system that cites the clause behind every answer, and leave every decision about money with a named officer.

  • Application intake and eligibility
  • Claim assessment against the agreement
  • Evidence tied to the line it proves
  • Payment decisions kept human

The checking happens. It just happens by hand, and only once

Every one of these is work an officer is already doing, in a way that leaves too little behind to be relied on later. Six patterns turn up in almost every program we map.

Eligibility is assessed by reading, every time

An officer opens the application, opens the guidelines, and works through them. The assessment is only as consistent as how tired the officer was, and two applicants with the same facts can get different answers.

A decision you cannot show was made the same way as the last one.

Claims arrive as attachments and get checked by hand

Invoices, attendance records, delivery reports and receipts, each one opened, read against a schedule and ticked off on a spreadsheet that lives beside the case rather than inside it.

A processing time set by how many files an officer can open.

The evidence and the claim are in different places

The claim says a milestone was delivered and the proof is somewhere in a folder of 29 documents. Six months later, at audit, somebody has to establish which document proved which line.

An audit finding about record keeping rather than about spending.

Applicants are asked for things they already sent

The registration document arrived with the application and is requested again at the first claim, because the two live in different systems and neither knows what the other holds.

Delivery partners who stop applying.

Program performance is assembled at the year end

Uptake, spend against profile, outcomes by cohort and time to decision are all knowable and none of them are visible while the program is still running and could still be changed.

Underspend discovered at the point it cannot be redeployed.

Money goes out and comes back

US federal agencies reported 186 billion dollars of improper payments in FY2025. The GAO attributes much of that to eligibility and documentation rather than to fraud, which means most of it was checkable before the payment rather than recoverable after it.

Recovery costs more than the check would have.

The improper payments figure is there to size the problem rather than to accuse anybody. The GAO puts most of it on eligibility and documentation, which means most of it was checkable before the money moved. That is a process finding, and it is a much more useful one than a fraud finding would be.

Give the system the checking and keep every decision about money

Controlled delegation is the whole design, and everything below this band is an application of it. Reading and checking against the agreement go to the system. What happens to the money goes to an officer, on every claim, without exception.

  • 01

    The same submissions arrive again

    Applications, claims, invoices, attendance records, milestone reports and variation requests. The same shapes over and over, each one measured against the same agreement.

  • 02

    The system checks them against the agreement

    Eligibility, expense period, category and ceiling, evidence against milestone, participants against register, and the cumulative position against the profile. Each answer carries the clause it came from.

  • 03

    An officer decides what happens to the money

    Approve, reduce, return, escalate or grant a retrospective approval. Every one of these reaches a named officer with the assessment done, the rule cited and the evidence attached.

See it run

A claim against a funded program, checked line by line

The funding agreement, the delivery records, the participant list and the invoices get reconciled against each other, and what the evidence supports is separated from what it does not.

Program Claim Review
  1. Input
  2. Context
  3. AI work
  4. Action
  5. Approval
  6. Recorded

Connected systems

  • Applicant portal Claims and uploads updated
  • Program database Agreements and delivery updated
  • Finance Payments and budgets updated
  • Documents Invoices and evidence updated
  • Eligibility rules Program conditions updated
  • Reporting Decision packages updated

Claim Claim 00982 Wrenfield Training Trust

  1. Claim submitted $28,400 across 3 categories
  2. Agreement pulled Skills stream, schedule 2
  3. Conditions read 16 conditions for this stream
  4. Delivery records pulled 24 sessions, 4 sites
  5. Invoices read 17 documents, dates and amounts extracted
  6. Claim period checked All costs inside the eligible window
  7. Participants reconciled 86 claimed, 86 on the delivery record
  8. Prior claims checked No duplicate cost against this agreement
  9. 16 of 16 conditions satisfied Each one against its evidence
  10. Claim record updated Evidence linked condition by condition
  11. 17 invoices filed Indexed against the conditions they support
  12. Decision package built What is supported and what it rests on
  13. Held for the program officer No payment is a system decision, ever
  14. Run recorded Every condition, its rule version and its evidence

Result

Fully supported Checked against every condition, with the evidence indexed to each one.
  • Claimed $28,400
  • Supported $28,400
  • Conditions 16 of 16
  • Participants 86 of 86
  • Duplicate costs None
  • Payments made 0

Completed automatically

  • Seventeen invoices read and filed
  • Participants reconciled to delivery
  • Duplicate check run across prior claims
  • Sixteen conditions evidenced
  • Decision package built

Requires a person

Whether the claim is paid.

Program officer

Approve paymentQuery recipientRefer for review
View audit trail
  • 09:22 Claim 00982 submitted through the applicant portal. 17 files.
  • 09:23 16 conditions read from schedule 2 of the agreement.
  • 09:24 86 participants reconciled against the delivery record.
  • 09:24 Duplicate check run across all prior claims on this agreement. None found.
  • 09:25 Decision package built. Held for the program officer. No payment made.
5 actions completed 3 systems updated 1 exception 1 approval

This demo uses fictional data. The workflow gets configured around your systems. Build a workflow like this

Four workflows, and the order they usually go in

Claim assessment usually goes first because it is where the volume and the exposure both sit. Each card names what the system handles and where an officer stays in control.

Operations

Claim assessment

Every line checked against the agreement, with the clause attached

Reads the claim and its attachments, checks eligibility, period, category and ceiling, matches evidence to the milestone it supports, verifies participants against the register, and produces a recommended payable amount with the rule behind every reduction. It does not pay anything.

  • Checks against your own agreement the schedules and ceilings, not a generic rule set
  • Cites the clause for every reduction a reduction without a clause is an opinion
  • Recommends, never approves the payment decision stays with an officer on every claim
How a workflow gets built

Data: claims, agreements and delivery records. Human: a program officer decides on every claim.

Operations

Application intake and eligibility

The same questions asked the same way of every applicant

Completeness checked against the requirement list, eligibility assessed against the published criteria, duplicates and related entities identified, and everything that cannot be determined from the submission named as a question rather than resolved by assumption.

  • Consistency across applicants the same facts produce the same assessment
  • Questions instead of assumptions what the application does not say gets asked
  • Related entities surfaced applications from connected organizations flagged, not judged
How a workflow gets built

Data: applications and published criteria. Human: an assessor decides eligibility and any discretion.

Operations

One record from application to acquittal

The agreement, the claims and the evidence on one file

The application, the agreement, every claim, every piece of evidence, every variation and the final acquittal on one record. This is what makes an audit a retrieval exercise rather than a reconstruction, and it is what the two workflows above stand on.

  • Evidence tied to the line it proves so the audit question has a one-click answer
  • Variations recorded as decisions with who approved them and on what basis
  • One view per recipient across every program they hold, not one per program
How the record gets built

Data: your program, recipient and evidence records. Human: officers own every decision on the file.

Insight, later

Program performance while it can still change

Uptake, spend and outcomes during the program rather than after it

Spend against profile, uptake by region and cohort, time to decision, and outcomes against the objectives the program was funded to achieve, visible during delivery. Underspend found in month eight can be redeployed. Underspend found at acquittal is a return.

  • Spend against profile, live by category and by recipient
  • Equity of access measured who is applying, who is succeeding, and who is not applying
  • Time to decision tracked the number recipients experience and funders rarely see
How the data layer gets built

Data: your own program records. Human: program leadership decides what to change.

The rule-writing stage finds things nobody wanted to find, and that is the point. Turning a set of guidelines into rules a system can apply surfaces every place two officers would reasonably reach different answers. Those places are already producing inconsistent decisions, in both directions, and nobody can currently see it. Several programs have taken that finding and never built the workflow, which is a legitimate outcome.

Six decisions taken before anything is built

These get agreed with program leadership, whoever owns privacy and whoever will answer to the auditor. Between them they decide what the workflow is allowed to be, and the first one is not negotiable.

Payment authority Kept human
The system assesses, evidences and recommends. It does not approve a payment, release funds or issue a reduction, at any value, on any claim. There is no threshold under which this becomes automatic, and the demo above has no auto-approve path for a clean claim for that reason.
Applicant data boundary
What the workflow may see, what stays masked, how long it is kept and under which privacy regime. Programs usually hold personal information about participants as well as commercial information about recipients, and the two often have different rules.
Recourse and appeal
A recipient whose claim is reduced is entitled to a reason and usually to a route to challenge it. Every recommendation carries the clause and the evidence behind it, so the reason exists before it is asked for rather than being reconstructed afterwards.
Rule versioning
Which version of the guidelines an assessment was made under, recorded on the assessment. Programs change their rules mid-term, and an assessment that cannot say which rules it applied cannot be defended.
Audit trail
What was submitted, what was checked, which clause produced which answer, what was recommended, who decided and what they decided. Built from the first pilot rather than added when an auditor asks.
Escalation path
What happens when a rule is ambiguous, evidence is partial, or a submission raises something the guidelines did not anticipate. Ambiguity in a funding agreement is common, and a workflow that resolves it silently is making policy.

What counts as working. Accepted output against your own baseline is the proof. The first build is usually tested against decisions your officers have already made, so you can see where the system and the officers disagree before it touches a live claim, and so a disagreement is a finding rather than an incident. How we measure AI work sets out the method.

One program, proved against decisions you already made

The first build runs on one program and gets tested against assessments your officers completed, which is the only way to find out whether the rules as written match the rules as applied.

Map the work
Two to three weeks. How applications, claims and acquittal actually run, where the processing time and the exposure sit, and the candidates scored by value and readiness. This is FusionMap.
Write the rules down
About two weeks. Turning the guidelines into rules a system can apply is the stage that finds the ambiguities, and every program has them. This work is worth doing whether or not anything gets built, because the ambiguities are being resolved inconsistently by people right now.
Build one workflow
Four to six weeks. Usually claim assessment, on one program rather than across the portfolio, tested against decisions your officers already made so you can see where the system and the officers disagree.
Train and operate
Ongoing. Into use with officers trained to read what the system produces and to override it on the record, reviewed against the baseline, then the next program.

Where this has already been built

The approach on this page comes out of these engagements. Two sit inside funded programs, from both sides of the table, and two are the design patterns the workflows above are built on.

Begine Fusion is a Zoho Authorized Partner working across Canada, the United States, the United Kingdom and Nigeria, with a team on the ground in Nigeria since 2013. Every engagement is published in full, including what was measured and what was a design target. The full set is on our work.

Whether this is the right conversation yet

The work pays back when a program runs long enough and at enough volume that consistency between officers is a real exposure. If that is not where you are, the right column says what to do instead.

This fits if

  • Claims or applications arrive often enough that consistency between officers matters
  • An auditor has asked which document proved which line, and it took a while to answer
  • You can name two officers who would reasonably assess the same borderline case differently
  • Recipients are asked for information the program already holds
  • Somebody can own the rule writing, because turning guidelines into rules is where the findings are

Start somewhere else if

  • You do not yet know which stage costs the most. Go to FusionMap and find out before commissioning a build.
  • The program is in design and the guidelines are not settled. Write them first. The rule-writing stage will be far more useful once there is something to write down.
  • What you need is a written position on where AI may be used in public decision making. That is FusionGuard.
  • You are looking for someone to decide your program policy. We build to a policy. We do not set one.

Start where the problem is

The same five offers every other client buys, scoped to an organization that has to evidence how public money was assessed. Find the line that sounds like your program.

Processing times are long, the reasons are unclear, and nobody can say which stage costs the most

FusionMap

The guidelines have never been written down as rules a system could apply

FusionGuard

Applications, agreements, claims and evidence live in four systems and a shared drive

Systems Build

One workflow is defined, agreed, and ready to be built properly

FusionBuild

The systems went in, they work, and nobody has looked after them since

Managed Operations

Your officers have to supervise what a system produces, not just operate it

AI Systems Mastery

No price is quoted on this page. A sector is not an offer and does not have a price of its own. What a program here pays follows which of those six lines is the real one and how precisely the guidelines are already written. Working out which line is yours is what the first call is for.

Asked on every call with a program

The seven that decide whether a build is worth starting, answered before the proposal rather than inside it.

Does the system decide who gets paid?

No, and it is built so that it cannot. It reads the claim, applies the rules in your agreement, cites the clause behind every answer and produces a recommended payable amount. An officer approves, returns, reduces or escalates. There is no auto-approve threshold, including for claims that pass every check, because the value of the control is that a person signed and an exception-only review means nobody looked at most of the money.

Our guidelines are not written precisely enough for a system to apply.

That is the normal starting position and it is the most useful finding of the engagement. Turning guidelines into applicable rules surfaces every place where two officers would reasonably reach different answers, and those places are already producing inconsistent decisions today. Writing them down is worth doing whether or not anything gets built on top of it.

What about applicants who cannot use a digital process?

The workflow reads what arrives, including a scanned form or a posted document, so the burden of changing sits with the program rather than with the applicant. A program that only works for applicants who can submit cleanly through a portal has narrowed who it serves, and usually not in the direction it intended.

How do we defend an AI-assisted assessment at audit?

By showing what was checked, which version of which rule produced which answer, what evidence supported it, what the system recommended and which named officer decided. That record is a by-product of how the workflow runs rather than something assembled for the auditor, which is the difference between a retrieval exercise and a reconstruction.

Can it detect fraud?

It surfaces things worth looking at: duplicate claims across periods, related entities applying separately, evidence that does not support the line it is attached to. Every one of those has an innocent explanation as well as a guilty one, so the system reports the pattern and the basis for it and never characterises intent. Whether something is fraud is an investigation, and it belongs to people who run investigations.

How do we know it worked?

A baseline is taken before the build exists: current time to assess a claim, the rework rate, how often assessments are overturned on review, and how long a recipient waits for a decision. Afterwards the same work is measured against it, with the officer review burden counted openly.

How long before anything is running?

Roughly eight to twelve weeks from the first session to one workflow running on one program against a baseline you set. Ahead of it sits the mapping and the rule writing, which together are four to five weeks and produce something you can use whether or not we build anything.

Bring the claim that took three weeks and the audit question that took longer

Thirty minutes with a program lead, an officer who assesses claims and whoever answers to the auditor is enough to name the first workflow, the rules it needs written down, and the baseline it gets measured against.