Find the right starting point, focus on the work AI can improve, and take a practical next step with confidence.
A free, practical readiness check for owners, leaders, and teams. No account required.
Start where you are
I need a clearer plan
I have ideas, but I need help choosing what to prioritize first.
Explore the AI Starting Point DiagnosticI need my team moving
I want my team to use AI safely, consistently, and confidently.
Explore training and adoption supportDiagnose. Adopt. Build and run. Prove.
Every role scored on evidence, every move priced with payback and risk. Then your team trained, the workflows governed, and the value measured.
1. Diagnose
One role, scored and priced.
Accounts Payable Clerk
Finance, 5 people. Automate in year 3.
Net value
$1.24M
Payback
31 mo
Redeployed
3.6 people
AI adoption vs. realized automation
Net value over five years, risk adjusted. Every reduction has a redeploy path.
2. Adopt
People trained, workflows governed.
Finance team, operations track
Acceptable use policy
Invoice preparation workflow
Week 3 report out
A track counts as complete when the practice happened, not when the session ended.
3. Build and run
Built, watched, and kept current.
Invoice preparation
Request triage
Sample review
Rollback plan
Every action logged. A rollback plan on file before anything goes live.
4. Prove
Forecast against measured.
Invoice preparation
Request triage
Q4 plan revision
AP time on invoices, observed
Measured from the time log. Unmeasured stays unmeasured, never zero.
One client, all four lines. Worked example, not a client result.
01 · Diagnose
Find your best AI starting point.
What should AI do in our business, and what is it worth?
Explore Diagnose
02 · Adopt
Help your team use AI with confidence.
How do we get our people to actually use it, safely?
Explore Adopt
03 · Build and run
Turn AI ideas into working workflows.
Who builds the workflows the plan prioritized, and who keeps them running?
Explore Build and run
04 · Prove
Measure what AI is improving.
Did the value show up, and what do we change next quarter?
Explore Prove
How it works
Six steps, in order, each ending in something you hold.
See the full processHow an engagement runs
The consulting team does the work. NovaPath holds what the team collects, keeps fact apart from interpretation, and turns each step into something the next one can use.
Frame the question
The consultant
Confirms the question the client needs answered, sets the scope, and builds the workplan.
NovaPath collects
The decision the client has to make, the functions and roles in scope, and the constraints on the engagement.
The step produces
An engagement brief and a workplan the team can start on.
Collect the evidence
The consultant
Gathers what the client provides and records what the team observes in the operation.
NovaPath collects
Roles, tasks, documents, interviews, metrics, policies, and system data. Client statements stay apart from consultant observations.
The step produces
An evidence base with a source and a date on every item.
Explain what it means
The consultant
Confirms or rejects each AI suggestion, names the operational vulnerabilities, and states what the evidence implies.
NovaPath collects
Draft classifications and grouped evidence from AI, then the consultant's confirmed findings, implications, and confidence.
The step produces
Findings and implications the team can defend in front of the client.
Decide what to do
The consultant
Develops the options, quantifies the financial and workforce impact, and records what the client approves.
NovaPath collects
Recommendations, the economics behind each one, and the client's decision: approved, rejected, deferred, or conditional.
The step produces
Recorded decisions and an action plan with an owner for every step.
Track the result
The consultant
Issues the deliverable, then follows the approved work and compares projected with actual value.
NovaPath collects
Owners, milestones, adoption and control measures, and the realized figure for each completed move.
The step produces
A client deliverable and a results record. Unmeasured stays unmeasured, never zero.
The chain behind every recommendation
Can we reduce AP cost without weakening controls?
Approval policy, AP interview, and exception report.
Exception routing depends on manual judgment.
Cycle time and control consistency vary by person.
Standardize routing and test workflow assistance.
Approve a 90-day pilot.
Compare cycle time, rework, control exceptions, and realized value.
How to read the chain
The workspace
An engagement reads as eight products the team builds in order. Each one answers a question the client will ask, and each one feeds the next.
Engagement brief
What are we helping the client decide?
Workplan
What needs to happen next?
Evidence
What do we know, and where did it come from?
Findings
What is exposed, and why does it matter?
Recommendations
What options are available?
Decisions
What did the client approve?
Action plan
Who owns the next step?
Results
Did the value appear?
What the team collects
A client's description of the process, a consultant's observation of it, and an AI model's suggestion about it are three different things. NovaPath records which is which.
Client-provided facts
Roles, tasks, costs, policies, documents, metrics, and system extracts.
Consultant observations
How work is actually performed, including handoffs, exceptions, workarounds, and unclear ownership.
AI suggestions
Draft classifications, possible opportunities, risk signals, and grouped evidence.
Consultant-confirmed findings
Validated observations, implications, confidence, and client-safe wording.
Client decisions
Approved, rejected, deferred, or conditional recommendations.
These five categories are never merged into one unexplained score. A reader can always see who said what, what was observed, what the model proposed, what the team confirmed, and what the client decided.
What we sell
Each line answers one question and ends in something the client holds. They connect: the diagnosis feeds adoption, adoption feeds the build, and the results feed the next plan. Start anywhere; most start with Diagnose.
01 · Diagnose
Find your best AI starting point.
What should AI do in our business, and what is it worth?
Every role scored on a research backed rubric, every move priced with payback and risk, and a dated plan with a redeploy path for every person.
Add NovaPath Aware: Observed work signals from your own systems, read at team level and never for one person, set against what people said they do.
What you can buy
AI Starting Point Diagnostic
Role and Work Opportunity Assessment
02 · Adopt
Help your team use AI with confidence.
How do we get our people to actually use it, safely?
Role based training with practice between sessions, a policy the firm adopts, and one place that lists every AI workflow with its owner and its controls.
What you can buy
Team AI Enablement
03 · Build and run
Turn AI ideas into working workflows.
Who builds the workflows the plan prioritized, and who keeps them running?
We build the prioritized workflows with a human review rule and a rollback plan, then host, monitor, and update them.
What you can buy
AI Workflow Setup
04 · Prove
Measure what AI is improving.
Did the value show up, and what do we change next quarter?
Forecast against measured, per workflow and per role, with a source for every measurement, reviewed on a set cadence.
Add NovaPath Aware: Measured value read from observed work signals, not only from time logs, at team level.
What you can buy
AI Value Review
Sold on their own
Each runs in the same workspace and feeds the lines above. Buy one alone, or add it to the line it fits.
AI readiness assessment
Where does each team stand today, and who is ready to move first?
A short instrument for staff and one for managers, pooled by team and never shown below five people, with a consultant read on the conditions around each group.
Feeds: Diagnose and Adopt
NovaPath Aware
Is the work really where people say it is?
Observed work signals from the client's own systems, read at team level and never for one person, set against the declared task inventory.
Feeds: Diagnose and Prove
Change readiness pulse
Will our people carry the plan, and what do we say to them?
A pulse survey before and after the change, pooled by team, and a communications playbook fitted to the roadmap.
Feeds: Adopt and Prove
Coming soon
Pricing is by conversation. Every line runs in the same workspace, so the evidence, decisions, and results from one carry into the next. Not sure where to start? Use the selector on the services page.
Inside the workflow
The analytical engine sits inside the consulting workflow, not in place of it. The team uses it when it explains what the evidence means and decides what to do (steps 3 and 4), and again when it tracks the result. It provides:
Work and task assessment
What each role does, task by task, against what the operation states and what the evidence shows.
Feasibility
Which tasks can realistically move to AI, scored on a research-grounded suitability rubric.
Risk-adjusted economics
What each option is worth after coordination tax, rework, attrition, and lock-in, stress-tested across AI stances.
Payback
When each option pays for itself, and a reversibility gate for the ones that might not.
Roadmap sequencing
A dated, costed order for the approved moves over the horizon the client sets, 1 to 5 years.
Redeployment and reskilling implications
Where each affected person goes next. Freed capacity is reported as redeployable, never as a bare cut.
Value realization
Projected value against what actually landed, per move, with the owner and the date.
Every role lands on a destination
And every affected person gets a redeployment or reskilling path, never a bare cut.
Accounts Payable Clerk
Finance, 5 people. Automate in year 3.
Net value
$1.24M
Payback
31 mo
Redeployed
3.6 people
AI adoption vs. realized automation
The team reads this while it develops recommendations. The numbers are the engine's, the judgment stays the consultant's.
Every figure is risk-adjusted, stress-tested across conservative and aggressive AI stances, and traceable to its sources. Read the full methodology.
What ends up in the deliverable
An operational assessment
What the operation states, what was observed, the conflicts between them, and the exposure each one leaves. Every entry dated, sourced and graded.
A dated, costed roadmap
Move-by-move sequencing with transition cost, savings and the year each move lands.
A per-role implementation plan
How to act on each role: the recommended pattern, a short tool or provider list to validate, cost at your size, effort and timeline, and where it sits in the sequence.
Peer benchmarks
Where the company sits against its industry on AI footprint, automation potential and cost.
A client-ready report
A branded PDF: findings, recommendation, economics, methodology visuals and confidence. Internal notes and unresolved review items never appear in it.
A decision record
What was approved, by whom, on what basis, and under which assumptions. When the assumptions move, the decision is flagged stale rather than presented as current.
Only consultant-confirmed, client-safe findings reach the deliverable. Internal notes, AI drafts, and open review items stay in the workspace.
A structured OCM layer on top of the engagement. Know which stakeholders are most affected, how to communicate the changes, and where the workforce actually stands before the first move.
How it compares
A like-for-like look at how NovaPath stacks up against the two usual ways a consulting team runs this work. Categories, not named vendors, so every claim holds up.
| Capability | Generic AI tools | Slides and spreadsheets | NovaPath |
|---|---|---|---|
| Client statements, consultant observations and AI suggestions kept apart | |||
| Every finding tied to its evidence, with the source and the date | |||
| Question, evidence, finding, implication, recommendation and decision linked in one chain | |||
| Role and task analysis on a research-grounded rubric | |||
| Grounded in real peer and labor-market data | |||
| Risk-adjusted economics with payback and a reversibility gate | |||
| Dated, costed roadmap over a horizon you set (1 to 5 years) | |||
| Redeployment and reskilling path for every affected person | |||
| Client decisions recorded with the basis and the assumptions behind them | |||
| Owners and actions assigned and followed after the deliverable | |||
| Stress-tested across conservative and aggressive AI stances | |||
| Projected value checked against what actually landed | |||
| Unmeasured reported as unmeasured, never as zero | |||
| Repeatable across engagements, and refreshed as the data changes |
Yes: full capability. Limited: partial or inconsistent. No: not offered. "Generic AI tools" means off-the-shelf assistants and one-shot AI assessments. "Slides and spreadsheets" means the usual engagement toolkit: interview notes, workbooks, and a deck, with the reasoning held in people's heads. NovaPath keeps the record the deck rests on.
The data behind it
NovaPath blends public and licensed sources into one view of each company. Records are matched to a single canonical company and conflicts resolved by survivorship, so the same firm is never counted twice, and every figure carries its source and date.
Peer companies
Real comparators with workforce size, each matched to one canonical company.
Hiring & attrition
Inflow and outflow signals, blended across sources.
Job postings
Live hiring demand by role and location.
Talent flows
Where people move, role to role.
Wage benchmarks
Pay baselines by occupation and area.
You choose which sources to use, a monthly budget bounds the spend, and only data licensed for redistribution reaches the client report.
Start with the free AI check. In a few minutes you will have a clearer view of your starting point and a useful next step.