Engagements

Private AI Decision Support

Three bounded ways IMPAKT can help evaluate a private or governed AI decision. Each begins with one workload, explicit evidence, and a decision owner.

Workload Placement Decision Sprint

A structured comparison of public API, managed private, self-hosted, local, edge, and hybrid options for one defined workload.

Who it fits

A leader or architecture group with a real workload, competing placement options, and a decision that is being blurred by vendor categories or incomplete requirements.

Decision

Which placement pattern deserves the next validation step, and what would have to be true for that choice to hold?

Inputs

Workload purpose, users, owner, and decision horizon
Data classes, residency needs, access boundaries, and acceptable external processing
Quality, latency, volume, availability, integration, and operational constraints
Current options, dependencies, and known unknowns

Deliverables

Workload and constraint brief
Comparable placement-option matrix
Decision rule with assumptions and validation gaps
Recommended next experiment or diligence sequence

Exclusions

Legal or regulatory determination
Security certification or architecture approval
Procurement selection on undocumented vendor claims
Implementation, migration, or production guarantee

Agent Production-Readiness Review

A boundary-focused review of what must surround an agent before its autonomy can be expanded responsibly.

Who it fits

A product, platform, or business owner with a working demonstration or early pilot and uncertainty around evaluation, permissions, oversight, recovery, or operating ownership.

Decision

Is the agent ready for the proposed operating boundary, and which gaps must be closed before that boundary expands?

Inputs

Workflow map, intended users, tools, data access, and autonomy level
Current evaluation evidence and known failure modes
Permission model, logging, human checkpoints, and escalation paths
Release, incident, change-management, and operating ownership assumptions

Deliverables

Readiness map across evaluation, control, observability, and operations
Failure-mode and boundary register
Prioritized validation plan
Go, constrain, or pause decision rule for the proposed scope

Exclusions

Penetration testing or a security audit
Compliance attestation
Model-safety certification
Assurance that an agent will be error-free or production-ready

Inference Economics Assessment

A workload-level cost model that connects inference choices to quality, labor, delay, exceptions, and operating effort.

Who it fits

An organization comparing API, hosted, reserved-capacity, or self-operated options and willing to supply dated workload and pricing inputs rather than rely on headline token prices.

Decision

Which option has the most defensible economics for the stated workload and range of demand?

Inputs

Request shape, context repetition, output length, volume, concurrency, and peaks
Quality threshold, retry pattern, exception rate, and human-review requirements
Dated provider prices or internal infrastructure assumptions
Labor, integration, support, reliability, and switching assumptions

Deliverables

Transparent cost-per-completed-workflow model
Assumption and source register
Sensitivity ranges and break-even questions
Decision rule plus the measurements needed to update it

Exclusions

Guaranteed savings, ROI, or payback
Forecasts presented as observed demand
Hardware or vendor endorsement
Production performance claims without matched workload evidence

Start with the decision

Share the workload, the alternatives, and what makes the choice difficult.

IMPAKT will use that context to determine whether one of these engagements fits—or whether a public framework is the better next step.

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