An AI automation provider should leave you with an operable workflow.

Buyer decision: Is the provider learning the end-to-end operation, or automating the most visible task before anyone understands where delay, rework, authority, and exceptions actually sit?

Provider fit

External facilitation and technical analysis can help when a workflow crosses teams or systems, current measures are weak, or the proposed boundary is still being contested.

Required inputs

Process owners, operators, affected users, representative ordinary and exceptional cases, source records, systems, queues, service expectations, workarounds, volumes, elapsed time, effort, rework, and known incidents.

Delivery work

Observe real cases, model triggers, tasks, gateways, messages, handoffs, waits, decisions, records, writes, exceptions, recovery, and completion. Establish what happens now and which result the organization wants to improve before selecting a platform.

Buyer authority

The buyer defines the legitimate purpose, authoritative process, policy, desired outcome, affected people, acceptable tradeoffs, excluded cases, and whether a process change would solve more than software.

Evidence to request

A current-state map, representative case set, baseline definitions, measured friction, source-of-truth inventory, decision and exception owners, open questions, risks, assumptions, and a reasoned keep, connect, replace, build, or stop recommendation.

Failure modes

Workshop fiction replaces observation, averages hide high-consequence cases, provider assumptions become policy, employees understate workarounds, the tool choice fixes the scope, or the proposed gain belongs to a downstream step that remains unchanged.

Handoff expectation

The buyer should retain the map, measurement definitions, case inventory, decision record, and named owners in editable formats that can outlive the sales process and support a different implementation path.

Buyer decision: Can the provider explain why each step is deterministic, model-assisted, human-approved, or deliberately manual, including how one mode is prevented from silently bypassing another?

Provider fit

A workflow contains both stable rules and ambiguous content, and the organization needs a concrete boundary between machine assistance, exact control, professional judgment, and exceptional manual handling.

Required inputs

Rules and owners, calculations, permissions, thresholds, classification or extraction tasks, model candidates, approval rights, prohibited actions, exception definitions, error consequences, review capacity, and safe fallback.

Delivery work

Write an allocation for every task and transition. Define validation before and after model inference, evidence shown to reviewers, approval expiry, state checked before action, uncertainty handling, and the conditions that block or suspend automation.

Buyer authority

Authorized people own policy, professional judgment, material approval, overrides, residual risk, and any decision that affects rights, safety, employment, housing, finance, health, legal position, production, or another consequential outcome.

Evidence to request

A responsibility map, threat and impact questions, mechanism rationale, permission model, review specification, prohibited-action list, stop conditions, fallback design, and tests that prove a suggestion cannot become an unauthorized state change.

Failure modes

A fluent model is mistaken for a rule engine, a nominal reviewer has no time or evidence, broad credentials collapse separation of duties, uncertainty is discarded, and high-impact action is labeled administrative to avoid scrutiny.

Handoff expectation

Decision rights, review queues, overrides, suspension, policy updates, and exception ownership become visible operational responsibilities instead of informal safeguards assumed to exist around the automation.

Buyer decision: Will the provider connect the workflow to authoritative systems with explicit identity, contracts, and write behavior, or rely on copied data and brittle screen actions that hide state?

Provider fit

Useful automation must read or update several applications, preserve record identity, operate under least privilege, and survive version, availability, timing, and data-quality differences.

Required inputs

System owners, API and event contracts, schemas, data definitions, identity and access design, environments, rate limits, retention, source priority, synchronization rules, idempotency keys, transaction boundaries, and change windows.

Delivery work

Define interfaces and authoritative fields, validate data and state, use narrow service identities, correlate each run, make retries safe, prevent duplicate side effects, handle partial completion, reconcile source and destination, and version contract changes.

Buyer authority

The buyer controls system access, data meaning, lawful sharing, retention, production credentials, authoritative-record designation, write approval, operational windows, and acceptance of integration side effects.

Evidence to request

Interface specifications, field and provenance maps, access matrix, test environments, contract and integration tests, duplicate and stale-state cases, failure and retry traces, reconciliation results, inventory of dependencies, and credential revocation steps.

Failure modes

The provider needs shared administrator access, copies sensitive data into an unmanaged tool, treats a screen as a stable contract, repeats payments or messages, overwrites newer state, loses provenance, or leaves only one engineer able to explain the flow.

Handoff expectation

Interface versions, access reviews, dependency changes, source corrections, failed writes, replay, and reconciliation need owners. The buyer should receive deployable code and configuration where contracted, plus current diagrams and revocation instructions.

Buyer decision: Can the provider define acceptable behavior using the buyer's representative cases and failure costs, rather than substitute a general benchmark or a polished prompt demonstration?

Provider fit

The bounded task genuinely needs classification, extraction, retrieval, ranking, language, vision, or prediction and the organization can supply lawful, representative evaluation material and qualified reviewers.

Required inputs

Task definition, intended users, representative and difficult cases, protected evaluation sets, labels or rubrics, subgroup and context dimensions, expected abstention, error costs, reviewers, privacy limits, baseline, and acceptance authority.

Delivery work

Compare a simple baseline, evaluate candidate systems by useful slices, inspect errors, test missing and hostile inputs, measure review burden and latency, capture model and prompt versions, and repeat evaluation after material changes before release.

Buyer authority

The buyer defines the meaning of a correct result, appoints qualified reviewers, resolves disputed cases, sets risk tolerance, approves protected data use, accepts known limits, and decides whether observed performance supports the intended use.

Evidence to request

Version-linked results by meaningful segment, representative error examples, abstention and escalation behavior, reviewer agreement and workload, security and privacy findings, cost and latency distributions, known limitations, and an explicit acceptance or rejection record.

Failure modes

Evaluation cases resemble the demonstration but not real work, leakage inflates results, averages hide costly errors, reviewers rubber-stamp output, model or provider changes invalidate evidence, and generated explanations are mistaken for causal proof.

Handoff expectation

Evaluation becomes a release dependency. The organization needs protected cases, review capacity, version records, incident feedback, change triggers, and authority to disable or replace the model without disabling the whole workflow.

Buyer decision: Does the proposal make missing data, denied access, model refusal, unsafe output, unavailable systems, partial writes, overload, incidents, and recovery part of the main design?

Provider fit

The workflow reaches production records, external recipients, sensitive information, business commitments, or service expectations where silent loss, duplication, disclosure, or delay has a material consequence.

Required inputs

Threats, assets, data sensitivity, failure scenarios, service dependencies, timeouts, retry limits, queue owners, escalation paths, incident roles, audit needs, recovery objectives, manual fallback, reconciliation, and communication duties.

Delivery work

Exercise misuse and failure paths, constrain tools and data, isolate environments, redact approved telemetry, convert failures into owned work items, preserve correlation and provenance, test replay and rollback, and rehearse manual continuity before release.

Buyer authority

The buyer owns production security, privacy and legal decisions, incident command, customer or regulator communication, continuity priority, residual risk, restoration approval, and the point at which automation stays suspended.

Evidence to request

Threat model, dependency and supplier inventory, least-privilege proof, security test results, audit events, overload and outage cases, exception queue behavior, reconciliation, rollback and restoration exercise, runbook, contacts, and unresolved risk record.

Failure modes

Happy-path tests are called production readiness, sensitive inputs enter logs, retries amplify side effects, alerts have no owner, the provider alone can restore service, model access bypasses system policy, or contract language substitutes for tested recovery.

Handoff expectation

Exceptions, incidents, access, supplier changes, backups, recovery exercises, and reconciliation join routine service management. The organization needs independent access to logs, configuration, runbooks, and safe manual operation.

Buyer decision: Will the provider define how the workflow is accepted, released, observed, changed, supported, handed over, and retired, including what happens when a model, platform, or provider is removed?

Provider fit

The system will handle continuing volume, depend on changing models or third parties, require support, or become part of an operation whose staff and technology will change after the first release.

Required inputs

Acceptance criteria, release authority, environments, version and change policy, telemetry, service expectations, support hours, incident and problem records, costs, capacity, training, intellectual-property terms, data return, deletion, portability, and transition needs.

Delivery work

Release a narrow slice in stages, compare workflow and task measures, monitor human load and failure, review changes, maintain rollback and fallback, document support responsibility, transfer knowledge, test export and revocation, and define retirement triggers.

Buyer authority

The buyer accepts production behavior, approves releases, owns service priorities and budgets, authorizes changes, determines communications, verifies data return or deletion, selects replacement paths, and decides when to retire the automation.

Evidence to request

Signed acceptance evidence, release and rollback records, version-linked telemetry, support and escalation map, capacity and cost observations, training and handover material, asset inventory, export test, credential revocation, deletion evidence, and an executable transition plan.

Failure modes

A prototype becomes permanent, support depends on an informal promise, provider updates arrive without evaluation, cost and review load drift, the buyer lacks deployment access, knowledge stays proprietary, or exit provisions exist only as untested contract text.

Handoff expectation

The automated workflow enters ordinary product and service governance. Named owners review performance, incidents, human burden, supplier changes, access, cost, improvements, continued fit, and eventual replacement or retirement.