Method

What a contract process diagnosis actually covers

A contract process diagnosis is not requirements gathering. Its purpose is to locate the one stretch worth fixing first. The eight questions to answer beforehand, how the hour is spent, what it produces, and when to skip it.

By
Zico Team
Published

5 min read

The short version

A contract process diagnosis is not requirements gathering, and it is not a product demo under another name. Requirements gathering produces a feature list. A diagnosis produces a judgement: which stretch of the process is worth fixing first, which systems that touches, and how you will know it worked.

That difference shapes how the meeting runs. Requirements gathering tries to collect everything. A diagnosis deliberately narrows, and marks most of what was raised as explicitly out of scope for now. A useful diagnosis ends with both sides agreeing on three things: where the main friction is, which path is recommended, and what happens next.

Eight questions to answer beforehand

These eight decide what gets demonstrated and what does not. Answering them in writing before the meeting keeps the hour from being spent exchanging basic facts. Rough answers are fine; being unable to answer one is itself information.

No single question is complex. The value is that eight answers together reveal the path.
QuestionWhat it establishes
Which system do contracts start from todayWhether there is one entry point or several in parallel
Is the document a Word file, an online doc, or generated by a systemWhether document and structured fields are separate, and where versions originate
Does external negotiation run over email, chat or something elseWhether the process spills outside internal systems, and where risk concentrates
Where do you most often lose a version or re-enter the same dataLocates the friction directly, and usually the first loop worth fixing
How many legal entities, tenants and business systems are involvedWhether a cross-entity view is needed, and how complex permissions get
Where do approval, sealing, ERP and spend control, and archiving sit todayWhere the boundaries fall and which way fields should flow
Can data leave the corporate network; is self-hosting or a specified model requiredDeployment shape and where inference runs, which narrows the options immediately
Are you willing to replace the contract system of record, or only to augment what existsPath selection, and the highest-priority answer of the eight

The last question is often treated as commercial. It is a technical precondition. Replacing the system of record and augmenting what exists lead to entirely different designs and acceptance criteria, and leaving it ambiguous makes every later discussion unfocused.

How the hour is spent

A diagnosis does not follow the feature menu. It follows map, hypothesise, test. A typical sixty-minute session allocates time roughly as follows.

Live demonstration takes under a third of the time, and covers only the loop the diagnosis points at.
TimeActivityOutput
0–5 minAgenda and scope statementAgreement that not every feature will be covered
5–18 minMap the current processPeople, documents, systems, decision points, data boundaries
18–23 minState the diagnostic hypothesisMain friction, recommended path, and what is out of scope today
23–40 minLive walkthroughOne contract taken through one complete loop, no menu tour
40–50 minIntegration and deployment boundariesWhich entry points stay, which are taken over, where data lives
50–57 minSummarise in the roomFit, gaps, risks and how success would be measured
57–60 minAgree one next stepSample validation, a technical session, or a POC

Minutes 18 to 23 carry the session. Stating the hypothesis out loud, so the other side can reject it, works far better than sending a report afterwards. A hypothesis being overturned is a good outcome: it means the current state differs from the initial read, which is exactly what the session is for.

What it produces

First-pass fit assessment

A thirty to sixty minute session produces a path judgement: system of record, capability integration, or a hybrid; one or two points of highest friction; and whether the next step is worth taking. It deliberately does not deliver a detailed process blueprint, a prototype or a schedule commitment, because producing those before seeing real samples and system boundaries yields something too imprecise to decide on.

Contract operations diagnosis and POC

When an executable conclusion is needed, scope extends to one or two weeks and produces six fixed deliverables: a current-state process map with an issue list, a target process and system boundary diagram, validation results on real samples, integration options and data boundaries, a go-live scope with explicit exclusions, and acceptance criteria with responsibilities on both sides. This is quoted separately and can be credited against a subsequent project.

The difference between the two is not time spent but how executable the conclusion is. The first answers whether to proceed. The second answers how, and what counts as done.

Setting acceptance criteria

The last step of a diagnosis is turning the improvement target into measurable numbers, and baselining them before any work starts. Without a baseline there is no way to tell afterwards whether anything improved.

Criteria sit on process outcomes, not on the AI itself.
CriterionHow to measure
Time from receipt to a decision-ready resultUpload timestamp to the moment legal issues a conclusion
Revision roundsNumber of rounds before a contract is finalised
Duplicate data entryFields still keyed into other systems after execution
Wrong-version incidentsTimes a superseded draft was signed or sent out
Ruleset coverage and traceabilityRun your own checklist over samples; count misses and check each finding locates its position

When to skip the diagnosis

Companies with modest contract volume, fixed templates, almost no external negotiation and no multi-entity complications can usually see their friction at a glance, and looking straight at the product and the price saves time. The value of a diagnosis rises with process complexity; in simple settings it is a long way round to an obvious conclusion.

The other case is a company that has not yet decided internally whether to change anything. A diagnosis needs business, legal and IT in the room together. With any one of them missing, the current-state map comes out distorted and the conclusion cannot be acted on. The better starting point is an internal agreement on whether this is worth doing now, and a diagnosis after that.

Bring these questions to a demo

Book a dedicated demo and walk one complete path matching your organization, collaboration platform and deployment requirements.