After the ink dries,
eight to eleven percent¹
of every contract
quietly leaves the building.
The loss does not happen at the negotiating table. It happens during execution — in the gap between what the contract says and what actually gets done. Evaluetor closes the gap.
¹ Industry research has consistently reported post-signature contract value losses in this range. Active contract management programmes have been associated with meaningful recovery of identified leakage. Exact figures vary by sector, contract size and methodology — happy to share the studies we have drawn on under NDA.
Built for European mid-large enterprises with structured contracts and high SLA spend · procurement-led buying committees · talk to us
Ten places the money tends to walk out the door.
Contracting matters. So does renewal. But the long middle is where value is made — or quietly mislaid.
Illustrative model — a representative European enterprise contract with mid-band leakage events. Real portfolios vary. The shape — that value erodes during execution, in small steps, at predictable points — does not.
A contract is only as enforceable as the world you can measure against it.
Three connector concepts — illustrative of how the platform reads operational data from the systems where the work happens, and surfaces the moment reality stops matching the paper. Integration scope is scoped per engagement.
Compare actuals against committed volumes. Trigger rebate claims automatically.
| Committed | 12,000 |
| Actual | 9,840 |
| Tier | 3 |
| At risk | €184,200 |
Read incidents, response and resolution times. Detect breaches in real time.
| Target | 15m |
| Actual | 23m |
| Breached | 7 / 12 |
| Credit | 4.2% MRR |
Pull live FX rates for indexed contracts. Flag the moment thresholds break.
| Peg | 1.0850 |
| Today | 1.1024 |
| Δ | +1.6% |
| Status | Reprice |
Nine agents. One model. Every contract.
Six capabilities. None of them an add-on. None sold separately.
Each discipline, examined — with the dashboard it produces.
Obligation Tracking
Every promise tracked, owned, evidenced.
A contract is small promises — delivery, reporting, payment, notice, certification. Most are forgotten by Q3. We find them, hand each to a named owner, stamp the evidence when done.
Risk Detection
What is buried in the boilerplate.
Indemnities without caps. Termination on twelve hours notice. Confidentiality outliving the deal. Every clause read, scored against ten dimensions, deviations from portfolio norms flagged.
SLA Monitoring
Recover what you are owed.
Most enterprises pay for service levels they do not actively measure. We extract every SLA term, ingest the real numbers, and count the credits owed before the vendor counts them for you.
Relationship Governance
The view from both sides of the table.
Every other CLM stops at the contract. We go into the relationship it is supposed to govern. Dual-perspective scoring reveals the gap between how you see them and how they see you.
Cost is one half. Revenue is the other.
The same four disciplines — obligations, risk, SLA, relationship governance — apply whether you signed the contract or wrote it. Most examples on this page are drawn from the procurement side. The product works identically on the sales side.
When you signed it.
Cost recovery and risk management.
- →Detect supplier SLA breaches automatically
- →Calculate service credits owed to you
- →Prevent auto-renewal traps before notice deadlines
- →Surface missed rebate and tier triggers
- →Track supplier obligations to your business
When you wrote it.
Revenue protection and client trust.
- →Track your commitments to customers, visibly
- →Surface delivery and SLA risks before they breach
- →Protect renewal and extension revenue
- →Identify upsell signals in account health
- →Deliver as promised — measurably, on the record
On the sell side: contribution and revenue protection. On the buy side: cost and risk management. The dashboards, the obligations engine, the SLA detector — the same machine.
The outcomes we engineer for. Targets, not promises.
² Projected target ranges based on industry research, the Evaluetor reference architecture, and pilot models. Realised outcomes vary by portfolio and are measured per engagement. We will not show these as “achieved” until we have customer data we can publish.
What the legacy CLM tools do not do.
The other vendors bolted AI onto products designed in the document-management era. Evaluetor was built model-first. The difference is visible in the cells of this table.
| Capability | Evaluetor | DocuSign CLM | Icertis | Ironclad |
|---|---|---|---|---|
| Time to first outcome | Within weeks | 6–12 months | 12–18 months | 3–6 months |
| Native AI agents | Nine | Limited | Add-on | Limited |
| SLA monitoring | Built-in | Not standard | Add-on | Not standard |
| Obligation tracking | AI-extracted | Manual | Manual | Limited |
| Relationship governance | Built-in | Not standard | Not standard | Not standard |
| Knowledge graph | Built-in | Not standard | Not standard | Not standard |
| Unlimited users | Yes | Per-seat | Per-seat | Per-seat |
| LLM observability | Langfuse | Not standard | Not standard | Not standard |
Comparison reflects publicly documented capabilities of each platform at time of writing. Vendor pricing and packaging vary by region and customer size; figures in the “time to first outcome” row refer to median customer reports.
The legacy CLM tools bolted AI onto products designed in the document-management era. Evaluetor was built model-first, which is why obligations, SLAs, risks and relationship governance ship in the box rather than as add-ons. We do not promise instant outcomes — we promise that the first ones land in weeks, not quarters.
The questions we answer first.
How accurate is the AI extraction, and how do you handle hallucination?
For high-stakes outputs — liability caps, indemnities, penalty clauses, obligation deadlines — accuracy matters much more than for "extract the parties." We address this in three concrete ways:
1. Human-in-the-loop for the first thirty days on every new portfolio. Each extraction is reviewed by an operator before it becomes canonical.
2. Source-clause citation on every flag. The AI never says "this contract has X risk" without pointing at the exact paragraph. Legal counsel can verify in seconds.
3. Langfuse trace per AI call. The reasoning chain is inspectable, exportable, and replayable. Defensible for risk teams.
Published accuracy rates by clause type are available on request. We do not claim 100%. Where precision matters most — penalty calculation, obligation triggers — we require human approval before any action is taken.
What about data security, residency, and certifications?
Architecture is multi-tenant with hard tenant isolation — every query is filtered by tenant at the data layer. Role-based access is enforced at the API layer. Full audit trails are written for every action.
Data residency: EU regions are available for production deployments and are recommended for European customers. The current public demo is hosted in a US region. Formal certifications (SOC 2, ISO 27001) are on the roadmap; we are happy to share architecture documentation under NDA before signature.
How do you integrate with our ERP, ITSM, or other operational systems?
Honestly: integration is the hardest part of any contract-execution system, and we acknowledge that on the way in. Here is the actual shape:
Shipping today: ServiceNow (ITSM) and SharePoint document store. REST API and webhook patterns for anything else.
Concept, scoped per engagement: ERP-volume connectors (SAP, Oracle, NetSuite), central-bank FX feeds. These are not "click to enable" — they require data-mapping work specific to your environment, priced in the connector tier above.
Time-to-first-value: typically 2–6 weeks for the core pilot (5 contracts, no new integrations). Adding a first ERP connector usually takes another 4–8 weeks of scoped engineering.
We are direct about this because pretending integration is trivial creates a credibility gap with experienced enterprise buyers. The reason the ROI exists is precisely because the data is not yet connected; if it were, the value would not be leaking.
Will we be locked in? What does data portability look like?
Export your contracts, extracted data, and audit trails at any time — as PDF, DOCX, or structured JSON. Nothing proprietary stays behind our walls.
We are confident enough in the platform that we do not need contractual lock-in to keep customers. Standard terms allow exit without penalty after a notice period.
What does a first engagement look like?
A 30-minute review with five of your live contracts. No payment, no procurement. Findings are yours to keep regardless of whether you proceed.
Scoping — portfolio size, connector requirements, deployment region — is done together on a follow-up call once you have seen the platform read your own paper.
How is the "perception gap" in Relationship Governance actually measured?
The perception gap is one of the more nuanced features, so honest detail: it is measured along three concrete channels, scored together.
1. Structured periodic surveys — both sides of the relationship (buyer and counterparty) score the same KPIs at the same intervals, against the same definitions. The difference between the two scores is the gap.
2. KPI rating inputs from operational systems — ServiceNow incident data, SLA performance, obligation fulfilment rates. These are objective signals, scored against the same KPI framework.
3. Communication cadence signals (where available) — frequency of escalation, ticket sentiment, response times. Treated as supporting signal, not authoritative score.
The composite gap score per KPI flows into the relationship health calculation. Where it exceeds a configurable threshold, an improvement point is auto-generated with owner and priority. It is not a single fuzzy number — it is a structured, defensible measurement with its own audit trail.
What if we already have a CLM in place?
You already have a contract repository. What you don't have is execution visibility. The legacy CLMs — DocuSign CLM, Icertis, Ironclad, SAP CLM — are good at storing and routing contracts. Evaluetor is the layer that reads them, watches them perform, and surfaces the value that leaks.
A practical test: if your current CLM can produce a monthly statement of € recovered / € lost / € at risk for every contract in your portfolio, you probably don't need us. If it cannot, we likely do something complementary worth a 30-minute conversation.
If, after a pilot, you decide to consolidate onto Evaluetor entirely, the migration path is documented and supported. If you keep the incumbent for drafting and use us for execution, that is also supported — and common.
Bring five contracts. We will show you, in thirty minutes, what your current CLM is missing.
Bring five live contracts. We extract obligations, SLAs, risks and renewal terms in front of you — and show you what is missing from your current CLM.
3055 NK Rotterdam, the Netherlands