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Sell and launch this solution
AI opportunity audit
Get a concrete AI implementation roadmap that shows where AI will save time, recover revenue, or reduce operating risk.
What happens after your client buys: they complete the intake form below, and Lead OS creates the business-ready solution plus any downstream customer-facing surfaces this offer requires. Included in: Starter, Growth, Professional
Suggested agency pricing: $500-$15,000 audit depending on company size; upgrades into implementation packages.
Business buyer
SMBs, founders, agencies, and operators who know AI matters but do not know what to install first.
Client business receives
A finished AI opportunity report with maturity score, process map, prioritized solution backlog, ROI estimates, and 30-day rollout plan.
Audience model: B2B
Sold to a business buyer for internal operations, strategy, reporting, enablement, or workflow execution.
Downstream experience
The primary experience stays inside the buyer's team: operators, founders, consultants, executives, marketers, or delivery staff use the outputs to make decisions and run workflows.
Modular launch
Can be delivered alone, in a selected bundle, or with the full solution catalog.
No extra setup
Optional account connections use managed handoffs, so delivery starts from the intake form.
Multi-niche ready
SMBs, agencies, consultancies, local operators, startup teams
Who this offer is for
Business owners and operators who feel pressure to adopt AI but do not know which workflow should be automated first.
Decision maker
Founder, COO, agency owner, department lead, or transformation sponsor.
Resident or end user served
Internal operators, managers, and staff who currently carry repetitive work, reporting, follow-up, and process confusion.
Messaging
Stop guessing where AI belongs. Get a prioritized roadmap that shows exactly which workflows should be installed first, why they matter, and what outcome each one should produce.
Specific pain points
What the resident, end user, client, or internal operator is struggling with.
- Leadership hears AI urgency but cannot translate it into a practical install plan.
- Teams waste time on scattered experiments that do not become operating improvements.
- Manual processes are known, but no one has quantified the revenue or labor impact.
- Risk, approvals, and data boundaries are unclear.
Expected result
A decision-ready AI implementation report with maturity score, workflow map, ROI backlog, risk notes, and a 30-day rollout path.
Delivery shape
AI maturity reportDepartment workflow mapROI-ranked backlog30-day implementation roadmapupgrade recommendation
Prepared to deliver report artifacts and delivery hub. External implementation still depends on the next package selection.
User journey
The experience path for the specific persona this offer serves.
- 1Recognize
Understand where AI can help without buying random software.
Reads the package page and sees an audit positioned as a decision roadmap.
Evidence: Buyer persona, outcome, and launch promise on `/packages/ai-opportunity-audit`.
- 2Submit
Explain the business, processes, constraints, and success metric once.
Completes the intake form with target market, current process, constraints, and success metric.
Evidence: Required credential fields and solution brief inputs.
- 3Receive
Get a complete roadmap without assembling tools.
Delivery hub generates report, workflow map, backlog, and rollout outputs.
Evidence: Workspace, reporting, and operator URLs plus launched artifacts.
- 4Act
Choose the first install with confidence.
Upgrade path and roadmap point to the next package or workflow.
Evidence: Upgrade path deliverable and acceptance tests.
Service blueprint
Frontstage experience, backstage provisioning, support system, and failure handling.
Audit intake
Frontstage: Client submits business context and current process.
Backstage: Audit and process mapping agents convert answers into department workflows.
Support: Package provisioner creates workspace, reporting links, and artifacts.
Failure state: If data is incomplete, managed defaults state assumptions and required follow-up.
Provision
Frontstage: Client sees launched delivery, capture, operator, reporting, and billing links as applicable.
Backstage: Package provisioner creates URLs, artifacts, automation runs, acceptance tests, embed code, and solution brief.
Support: Package catalog, provisioner, persistence store, workspace route, and managed handoff defaults.
Failure state: Validation blocks missing required fields; persistence failures return explicit 503 errors.
Operate
Frontstage: Client or operator uses the delivered outputs and reports rather than learning a tool.
Backstage: Artifacts are grouped by launch surface and surfaced in the delivery hub.
Support: Workspace pages, reporting pages, operator surfaces, and acceptance-test evidence.
Failure state: External live actions remain labeled as needing approved account access when credentials are absent.
How the solution is fulfilled
The business buyer buys the outcome. These provisioning responsibilities turn the client's intake into the completed result.
- 1Audit Agent collects business model, departments, pain points, goals, constraints, and success metrics.
- 2Process Mapping Agent converts inputs into sales, marketing, delivery, admin, finance, and support workflows.
- 3Opportunity Agent scores each workflow by ROI, complexity, risk, and time-to-value.
- 4Roadmap Agent produces a 30-day install plan with quick wins and high-ticket follow-on packages.
What your client receives
These business-ready assets, handoffs, reports, customer-facing pieces, and implementation guides are created when the form is submitted.
- AI maturity score: Scored assessment of current AI usage, data readiness, operational leverage, and outcome potential.
- Department workflow map: Sales, marketing, delivery, admin, support, finance, and leadership process inventory.
- Solution opportunity backlog: Prioritized list of outcome improvements ranked by revenue impact, hours saved, complexity, and risk.
- ROI estimate table: Plain-language estimate of hours saved, revenue recovered, risk reduced, and monthly value.
- Recommended implementation plan: Step-by-step solution plan mapped to the customer's current systems and constraints.
- 30-day implementation roadmap: Week-by-week plan for the first workflow installs and owner responsibilities.
- Risk and compliance notes: Data, claims, approval, privacy, and human-review requirements for AI deployment.
- Upgrade path: Recommended next package: receptionist, reactivation, content engine, chief of staff, or AI-first OS.
Example client website
A standalone example for Northstar Ops Review. It shows this package as if it belongs to the client, not to Lead OS.
We show the best AI fixes, the order to do them, and the money or time each fix can save.
Open the client siteSimple steps the client follows
These are written in plain language so the buyer knows what to do with the finished system.
- 1The customer fills out one short form.
- 2The system builds the pages, rules, reports, and handoffs.
- 3The client opens this website and sees the finished work.
- 4The team follows the guide and uses the first deliverable.
- 5The report shows what changed and what to improve next.
Launch AI opportunity audit alone or merge it with other solutions
This standalone offer uses the same universal intake as every bundle. Keep only this solution selected, or add any other packages before launch; the backend provisions the selected combination from this one submitted form.