GIPR Technologies · The context layer for source-to-pay
See what no single system can show you.
What, who, when — and which rule decided.
Find duplicate payments, policy exceptions and conflicting supplier records that fall between your systems — because the evidence sits on both sides of a boundary between plants, campuses, agencies, business units or purchasing channels. The record beside this is one of them: a supplier’s remit-to account changes, your ERP accepts it because the format is valid and every required field is there, and your verified bank file contradicts it. GIPR holds both facts at once, with the source of each and the rule that decided between them kept on the record rather than closed out when someone picks a winner. That record is what an agent needs before it acts — and what your auditor needs after.
| Line | What the record says | Result |
|---|---|---|
| FIDELITY | Format valid · required fields complete | PASS |
| VERACITY | Account does not match the verified bank file | CONTESTED |
| AUTHORITY | Asserted by an unverified sender · no rule ranks this source | NO RULE |
| RECORD | Both values retained · disagreement surfaced · every finding downstream marked contested | ON RECORD |
of decision v2.3
Three signals, reported separately, with no fourth field that combines them. They mean corroboration and conflict — not “is this true.”
Who we help · Organizations that buy in more than one place
The boundary is the problem. It has two shapes.
A manufacturer whose plants run different systems. A pharma or biotech company with clinical, CRO and commercial spend on separate rails. A state or local agency whose departments buy independently. A company that grew by acquisition and kept three ERPs. A university with campuses. The boundary moves from one to the next; the problem does not, and it takes one of two forms.
The same supplier, under four names.
Each unit maintains its own record, so the supplier fragments. A contract negotiated in one place is invisible in the next. Tail spend looks small in every unit and large in aggregate, and nobody is wrong locally. GIPR reads the records together and reports one set of findings, each traced to the source rows it came from.
One purchase, entering two ways.
The same bill vouchered in one unit and carded in another, two days apart. Each local review sees one half and nothing unusual in it — which is why neither catches it, and why a finding like this attributes at the organization level rather than to either unit. GIPR reads the halves together.
These implementations have run across retail, industrial and pharma manufacturing, higher education, and state and local government. The assessment is scoped to your data, not to your sector.
01 — The platform
Three products. One record:
where every number came from, and which of your rules decided it.
Whether a person, a report or an agent acts on your procurement data, the question is the same: what was this number built from, and which rule decided? GIPR keeps that record — the data as it arrived, the rule in force when it was adjudicated, the policy version that governed it — so a finding can be acted on and then verified.
The record above is what GIPR Core keeps: two sources disagreed, both values survived, and the rule that decided is on the record. It reads your accounts-payable and card data together as well, so a charge appearing in both is one finding rather than two unrelated lines.
GIPR Connect
Durable integration architecture. Live with paying clients since October 2025. Owned, durable routes between the systems a procurement estate actually runs on — with two applications built on it: GIPR Collaborate for contract collaboration and GIPR Reconcile for ghost-card, virtual-card and P-card programs.
GIPR Core
The context layer for source-to-pay. A pre-built ontology, an append-only provenance record your auditor can verify offline, and three signals reported separately — the context an agent needs to act on procurement data rather than only describe it. Its first application is a spend-intelligence diagnostic that runs on the data you already have and keeps found, exposure and modeled dollars apart. In beta. Patent-pending.
GIPR Exchange
Supplier evidence that travels with the claim. In build, and not yet in front of design partners. We will describe it when there is something running to describe.
02 — GIPR Connect · In production
The estate does not speak one protocol.
We build to the one each system actually exposes.
GIPR Connect is durable integration architecture, live since October 2025 and in production with paying clients. It moves documents and data along durable, owned routes between the systems a procurement operation runs on — and it is where two of our applications live.
Durable by design
Connect runs on a durable workflow engine with its own database and its own state, activated per client. A route that fails halfway resumes from where it failed instead of restarting or silently dropping the run.
Routes with owners
Every route has a named owner, a declared payload, a schedule or a trigger, and a record of each crossing. We would rather run forty routes an engineer can explain than advertise a thousand connectors and maintain none of them.
Credentials stay in the integration tier
Client system credentials live in Connect and never in GIPR Core. The layer that adjudicates your data never holds your system passwords. That is an architectural boundary, not a policy paragraph.
Built to the real interface
A major HCM and financials suite exports through EIB and SOAP. A large public-sector ERP goes through staging tables and XML over an integration broker. A leading source-to-pay suite speaks cXML; a major enterprise ERP speaks OData. We build to each, with that interface's failure modes handled rather than abstracted away.
GIPR Collaborate
Collaborate on contracts. Sync to your CLM.
The problem is not the CLM — it is everything that happens outside it. Legal, the business owner, procurement and the supplier negotiate in email chains and attachments, because the CLM's interface was built for contract administrators rather than for the eight people who actually have to agree. Versions multiply, and the redline of record becomes whoever replied last.
Collaborate puts the negotiation where your teams already work — SharePoint, Google Docs, the repository of your choice — with a full audit trail of edits and approvals, and keeps it in step with the contract system that stays your system of record. Nothing migrates.
OAuth2-secured integrations · sub-2-second response across 100+ concurrent workflows · configurable 24 / 48 / 72-hour escalation on stalled approvals · retained audit trails.
GIPR Reconcile
Reconcile in seconds, not hours.
The card program is where spend goes to become invisible. Ghost cards, virtual cards and P-cards took the friction out of low-value buying — including the friction of the purchase order, the receipt, and the match. What is left is a statement, a GL code, and someone reconciling by hand.
Reconcile matches bank, procurement and ERP data together, so exceptions surface instead of statements. Spend sorts by department, vendor or category in real time; budget allocation splits automatically; output is audit-ready. And because both halves are in one place, the crossovers become visible — the same supplier, the same amount, two days apart, once on a voucher and once on a card.
“I was spending nearly 20 hours a month reconciling ~2,100 transactions manually. Now the Groves solution does it in seconds.” — P-Card Manager, large university
Where Connect stops and Core begins. Connect works inside your estate, holds the credentials, and moves data along routes you own. GIPR Core sits behind an ingestion boundary: every byte reaching Core arrives as a file or a validated feed, and Core performs no write into any source system. It produces findings, an evidence record and a verdict — what your systems do with that verdict is your decision. The practical benefit is that Core deploys without touching your ERP — nothing to install to get value from it.
03 — Why domain-native
General-purpose layers ask you to define
your business first. GIPR arrives knowing it.
The hard part is rarely engineering. It is the argument about what a supplier is across three ERPs and two acquisitions. GIPR arrives with that model already built, so your team adapts it to your environment instead of defining it from scratch — and then does the thing a general-purpose layer has no reason to do: when two of your systems describe the same purchase differently, it keeps both accounts of it.
The ontology ships pre-built.
Suppliers, contracts, requisitions, purchase orders, receipts, invoices, payments, encumbrances and approvals — modeled, constrained and provenance-tracked before you load a single row. You argue with it and adjust; you don't start from a blank page, and you don't spend a year in a room deciding what a supplier is.
130+ entity types across the deployed source-to-pay graph as of August 2026 — generated from the schema itself, and regenerated on every build.
Both values survive, and a rule you wrote decides.
Every assertion is written once to an append-only, content-hash-gated log and never edited. The value that lost is still there, one click away, with the source that asserted it. Which source outranks which, for which field, is a rule you author and amend — linked to the field it decided, versioned through the same log, and replayable.
Anywhere two systems meet, one value is normally kept and the other written over — that is what joining data is for, and usually it is the right trade. The cost is that the choice leaves no trace. Core makes the choice itself a record.
When no rule matched, the record says so, instead of pretending one did.
A continuous record of what actually happened.
Semantic layers settle what your words mean. Knowledge graphs settle how your things relate. GIPR adds a third thing on top of them: a running record of the events and decisions behind a number — what an agent needs in order to act rather than answer, and what an auditor needs afterwards. GIPR retains it: the data, the policy version and the source ranking in force at the moment a decision relied on it, independent of whichever model or person acted.
Models turn over in months; audits arrive in years. Which rule version governed a decision on a given date is on the record, and the decision can be re-derived under it.
Correct isn't the same as allowed.
An agent can be accurate, well-grounded, and still not authorized. GIPR treats authority as its own question — did a rule you wrote decide this field, or did nothing decide it — and answers it against the rule in force when the record was adjudicated, as its own signal on the record. Three signals are reported separately — fidelity, is the record well-formed; veracity, do the sources agree; authority, did a rule you wrote decide this field. Never blended, and there is no fourth number.
GIPR surfaces and records; your people decide. It runs alongside your process, not in its path.
Where this is going.
Agents are going to reach the transactions that run your business, and the constraint will not be whether they can read your data — it will be whether anything can say where a value came from and which of your rules decided it. That record has to exist before the agents arrive, not after. GIPR is building it in the layer underneath, so it is already there when they do. The trust layer for agentic procurement is the position we are building toward, stated as a direction rather than a status.
What exists today is a tenant-bound, read-only interface in preview, and no write into any source system. We are not going to point at agent deployments we do not have.
04 — How we count
Three kinds of number get added together in this industry.
Only one of them is money.
A found dollar is a specific transaction the run can point to: a duplicate payment with both invoice numbers attached. An exposure indicator is spend a control did not cover — sometimes a clean purchase with a missing record, sometimes the first thing an audit committee asks about. An opportunity band is a modeled range. All three are worth showing you. Only the first belongs in a headline.
Found dollars
A specific transaction, a specific amount, a specific reason, and the records on both sides — so your team can go and check it. The only number we sum.
Exposure indicators
Dollars sitting where a control did not hold. Every one listed with its amount, and never added into a headline — a test in our build fails if one ever is.
Addressable ranges
Ranges, with overlaps flagged so you can see where two opportunities are the same opportunity counted twice. Always a band, never a guaranteed total.
The same synthetic estate, the same period — the worked example below, rebuilt to the cent every time. The only change is that the card feed arrived alongside the accounts-payable extract.
$86,880.00 $134,089.66
AP extract alone, then with the card feed. 54% more of it visible — it was always happening; nothing could see it.
$42,650.00 $47,500.00
The difference is one $4,850 bill — vouchered by one department, carded by another, two days apart. Each unit’s review saw exactly half.
| Line | Amount | In the headline? |
|---|---|---|
| Found — duplicate payments, traced to the records on both sides | $47,500.00 | YES |
| Policy conformance — contract backing (3 of 223 POs) | $221,500.00 | no |
| Spend split across duplicate supplier records | $144,334.78 | no |
| Spend that bypassed a purchase order | $134,089.66 | no |
| Spend on contracts that had already expired | $96,450.00 | no |
| Addressable opportunity, high end of the band | $92,879.26 | no |
| Spend outside contracts already negotiated | $73,900.00 | no |
| Purchases split just under an approval threshold | $58,980.00 | no |
were added together $869,633.70 → $47,500.00
A ratio of 18.3× between the two ways of reporting the same findings. Synthetic data, deterministic, rebuildable to the cent — the same figures every time it is built. We report the smaller figure because it is the one you can act on. Found means a specific transaction with the records on both sides and a stated method, ready for your team to validate against payment status and business context — not money already recovered.
Your estate, modeled
130+ entity types spanning the systems procurement actually touches — suppliers, contracts, commitments, receipts, invoices, payments and approvals — not just the one it buys from.
05 — Proof
Verifiable by your auditor. Not asserted by your vendor.
Every claim on this page is backed by something you can ask us to run.
2M rows
→ 44 min
Drop to findings, end to end, measured July 2026 — 175.6 MB across 15 files, including 680,000 invoice lines and 460,000 purchase-order lines, on an untuned database.
130+
Entity types across the deployed source-to-pay graph, generated from the schema and regenerated on every build.
3,503
Test functions across 221 files — more lines of test than of product. Required verification lanes fail when their prerequisites cannot run.
181
Client-facing sentences pinned by cryptographic hash. Changing one is a visible act in the commit; copy cannot drift silently.
1 script
The offline verifier for our ingestion record. No database, no network, no trust in us. Your auditor runs it.
Every finding shows its work
Each finding prints the method that produced it, in a form a person can recompute by hand against the underlying records. The losing value in any disagreement is retained and one click away.
Our build fails if our marketing outruns our code
A gate scans our own client-facing documents and fails the build on claims we are not entitled to make. Any accuracy, match-rate or error-rate figure we publish must be registered against a methodology document that reproduces it. We adopted that rule while the list of published figures was still empty.
06 — Where each product stands
Built in stages. Stated as such.
Three products at three maturities. This is where each one is today.
GIPR Connect
Live in customer environments since October 2025, moving transactions between source-to-pay, ERP and finance systems for paying clients.
GIPR Collaborate — contract collaboration across teams, in step with your CLM. GIPR Reconcile — reconciliation for ghost card, virtual card and P-card programs.
GIPR Core
In beta, running against live procurement data. The ontology is built — 130+ entity types — with provenance capture and the authority model in the decision path. Deploys without touching your ERP: every byte arrives as a file or a validated feed. Patent-pending.
GIPR Exchange
In build. No live supplier network, and no design partners yet.
07 — Security and assurance
Straight answers, before your review asks.
What you can verify yourself
A tamper-evident, append-only ingestion record with per-source signatures your auditor verifies offline — no database, no network, no trust in us. A published capability register that separates what runs from what is designed. A tenant-bound interface where cross-tenant access is not merely defended against but structurally inexpressible: one tenant is bound at process launch, and no tool accepts a tenant argument.
Where AI sits, precisely
AI narrates; it never computes a number. In the governed query path the model composes a typed intent, the engine injects the tenant predicate and validates the query is read-only, and a fail-closed assertion bars the result from reaching the model. When the optional AI narrative is enabled, finding summaries travel to a single named provider over one audited path.
Jeff Groves
Founder & CEO
Twenty-five years implementing source-to-pay solutions, including Fortune 500 programs in airlines, telecommunications, restaurants, semiconductors and diversified industrials, and work across retail, pharma and biotech, higher education, and state and local government. Founder and CEO of Groves & Company, an Inc. 5000 procurement consulting firm.
08 — Company
Born from the work, not the whiteboard.
GIPR Technologies, Inc. builds the platform. Groves & Company — the source-to-pay consultancy the founding team came from, an Inc. 5000 honoree — operates it for clients and holds the customer relationship.
The ontology is not a research artifact. It is twenty-five years of implementations distilled into a formal model: the entities, the relationships, and the specific ways real procurement data fails. The failure patterns in this product are patterns we were called in to fix — go-lives, audits, and the month-fourteen problems that diagrams never show.
What you get · Before you commit to anything
A findings report your team can check line by line.
The first engagement is a bounded diagnostic, not a platform rollout. Here is exactly what it asks of you, what comes back, and how you verify it.
Your existing exports, and a scoping call
Whatever your systems already export — payables, purchase orders, card transactions, and a supplier list if you have one — as files you send or feeds we read. Nothing is installed in your estate, no credentials are issued, and no agent runs on your network. Most of the effort is deciding what is in scope, not moving data.
Findings, each with its records
Every finding names the transactions behind it, the rule that produced it, and the policy version in force when it ran. Amounts are reported by type — found, exposure, addressable range — and never added into a single headline number.
Recompute it by hand
Each finding prints the method that produced it in a form a person can redo against the underlying records. Where two sources disagreed, the value that lost is still there with the source that asserted it. Your team validates business context and payment status before anything is treated as recovery.
The fee is fixed and priced before we start, and it is credited against a subsequent engagement. If the data does not support an analysis, the report says which check could not run and why — that outcome is reported, not quietly omitted.
Next — Talk to us
When the auditor asks where the number came from,
the answer should already be on the record.
Talk to us about your purchasing data, the systems that have to talk to each other, or the record your agents and your auditor will both need.
A 45-minute briefing
Company, architecture, roadmap, and the capability register — including the rows still in build.
Scope an assessment
A bounded, fixed-fee diagnostic against your own purchasing data — payables, purchase orders, card spend and contracts — priced before we start and credited against a subsequent engagement.
The security packet
Security documentation, shared-responsibility matrix and DPA — with straight answers on what we do and don’t hold.
Or write to us: hello@giprtechnologies.com