Skip to content
Find Your First AI Opportunity Book a Demo
Find Your First AI Opportunity

Turn your strongest AI opportunity into an executive-approved, production-ready plan.

HachiAI maps the workflow, economics, controls, workforce implications, technology requirements, and operating model, then helps leadership decide whether to build internally, co-build through Forge, deploy an IDW, or address readiness gaps first.

A focused two-to-three-week assessment with a clear decision at the end.

Opportunity · Economics · First 90 days · Deployment pipeline · Operating model

Request the AssessmentReview the Deliverables

Compass is a fixed engagement fee, scoped on a short call, with 50% credited toward your first deployment. To size the return for your own volumes first, use the ROI calculator.

Six outputs that take leadership from interest to a decision.

Opportunity map

What could AI do across the business, and what is it worth?

The strongest AI opportunities across the business, ranked by value, feasibility, readiness, risk, and strategic relevance.

  • Opportunities identified across core functions
  • Annual value potential estimated by workflow and function
  • Business impact, feasibility, and readiness rated for each opportunity
  • Workflow types grouped by automation pattern and recommended solution path
Opportunity map
FinanceInvoice handling and reconciliation
OperationsDocument and system handoffs
ReadinessAccess, data and ownership
For leadership review and decision
Illustrative document structure; the assessment uses your operating evidence.

Priority sequence

What should we do first, and what can wait?

The recommended first workflow, what should follow, the dependencies between opportunities, and what should not be pursued yet.

Priority sequence
ValueOperating outcome and business case
FeasibilitySystems, rules and data
SequenceFirst workflow and dependencies
For leadership review and decision
Illustrative document structure; the assessment uses your operating evidence.

Business case

What is the business case, and when do we get paid back?

Baseline performance, investment, annual operating cost, benefit range, assumptions, risk, payback, and agreed success measures.

  • Estimated investment and benefit by use case
  • ROI and payback range for the recommended first deployment
  • Benefit drivers, assumptions, confidence, and sensitivity
  • Portfolio view for funding and sequencing decisions
Business case
BaselineCurrent volume, effort and cost
Future stateCapacity and cost per outcome
Decision rangeAssumptions and sensitivity
For leadership review and decision
Illustrative document structure; the assessment uses your operating evidence.

First 90 days

What can we deploy in the first 90 days?

The work required to design, build, integrate, test, govern, prepare employees, accept, and stabilize the first production release.

First 90 days
AlignSponsor, scope and success measures
DesignProcess, controls and responsibilities
PrepareAccess, data and acceptance criteria
For leadership review and decision
Illustrative document structure; the assessment uses your operating evidence.

Deployment pipeline

How do opportunities become running operations?

The next qualified workflows and roles, expected value, readiness requirements, and the path to scale beyond the first use case.

Deployment pipeline
QualifyConfirm opportunity and readiness
PrepareResolve prerequisites
DeployProve agreed production acceptance
For leadership review and decision
Illustrative document structure; the assessment uses your operating evidence.

AI operating model

Ownership, responsibilities, decision rights, internal capabilities, shared governance, knowledge transfer, and the recommended HachiAI role.

Decide what the organization should own, and where HachiAI should augment.

AI operating model
Own internally

Strategy, data, core policies, risk appetite, business outcomes, approval authority, decision rights, and differentiating intellectual property.

Co-build

Unique production capabilities where the internal team wants direct engineering participation, documentation, and ownership.

Co-manage

Production environments where responsibilities for monitoring, releases, incidents, governance, and improvement are shared.

HachiAI-manage

Defined operational workflows where the client wants HachiAI to remain accountable for production performance and continuous improvement.

A focused assessment built around the real operation.

A focused engagement over 2 to 3 weeks

  1. Align

    Confirm the executive objective, scope, stakeholders, decision criteria, and evidence required.

  2. Observe

    Shadow the work, review process evidence, and document systems, handoffs, rules, volumes, errors, and exceptions.

  3. Quantify

    Build the baseline, value model, cost range, assumptions, constraints, and measurable success criteria.

  4. Design

    Define the future workflow, human responsibilities, governance, architecture, deployment model, and operating ownership.

  5. Decide

    Present the recommendation, 90-day plan, risks, investment, and next-step options to the executive team.

The assessment ends with a decision, not an open-ended discovery phase.

Measure the opportunity in operating and financial terms.

Current-state baseline

Volume, labor effort, backlog, cycle time, accuracy, errors, rework, service levels, cash impact, and existing technology cost.

Future-state value

Capacity created, avoided hiring, lower transaction cost, faster cash or revenue, better accuracy, stronger controls, and resilience.

Total investment

Deployment, integration, internal effort, annual operations, model or infrastructure consumption, training, and change management.

Decision range

Conservative, expected, and upside scenarios with assumptions, sensitivity, payback, and three-year return.

Design the human operating model before the AI goes live.

Executive sponsorship

Clarify the mandate, business outcome, budget, risk appetite, and cross-functional ownership.

Role impact

Define which work moves to AI, which decisions remain human, which exceptions require expertise, and how responsibilities change.

Communication and training

Prepare employees, managers, process owners, reviewers, administrators, and support teams for the new operating model.

Adoption measures

Track usage, exception handling, approval behavior, employee confidence, process compliance, and operational performance after launch.

Finish with one of five clear decisions.

The evidence may support a managed IDW, a client-owned Forge build, readiness work before deployment, a later sequence, or a decision not to proceed. The recommendation is based on the workflow’s economics, feasibility, governance, and operating conditions, not on a preference for a particular product.

A good assessment can recommend action, sequencing, readiness work, or restraint.

Request the Assessment

Tell us where AI could create the most operational value.

Share the function, workflow, or business challenge you want to examine. Our team will confirm whether Compass is the right starting point, scope the Assessment, confirm fit, and explain what we need from your side.

Not ready? Take the free AI Opportunity Score

We will use these details to follow up about scope, timing, and fit for HachiAI Compass™.