Service-business templates
Start with models for services, offers, bookings, appointments, quotes, B2B inquiries, local discovery, and partner handoffs.
Built for agency portfolios
Service businesses rarely fit a tidy product grid.
Akii is built for agencies managing service-business clients whose customers discover, compare, book, buy, inquire, request quotes, call, WhatsApp, submit forms, pay deposits, or check out online.
Service clients
Best fit
Complex offers, policies, availability, and action paths
Graph + actions
Core model
Facts become endpoints and tested paths
Agency, client, partner
Operators
One shared view across roles
Private dining
Bookings and inquiries
Policies and deposits
Platform layer
What this part of Akii actually does
Each part has one job: make client facts, buyer paths, or checks clear enough for AI and people to use.
Operational details
Model hours, locations, capacity, menus, policies, deposits, packages, service areas, providers, and handoffs.
Commerce-ready outputs
Publish approved graph data to endpoints that agents, partners, and internal teams can rely on.
Action-path validation
Keep booking, inquiry, quote, call, WhatsApp, deposit, and partner handoff paths explicit and testable.
Workflow
Make complex client services clear enough to act on
Start with the client facts as they are. Turn them into approved data, clear customer paths, checks, and fixes.
1
Commerce GraphModel the client
Represent the operational facts that matter before a customer can act.
2
Agent GatewayPublish approved outputs
Expose machine-readable endpoints and read-only MCP from the approved graph version.
3
Action RegistryMap actions
Connect offers to the right booking, inquiry, quote, call, payment link, or partner handoff.
4
Current AI-readable client dataValidate and maintain
Run readiness checks, Answer QA, monitoring, defects, fixes, and retests.
How it works
What AI needs before a customer can act
The inputs and outputs stay visible, so the agency, client, and AI systems can use the same approved facts.
| Area | Input | Output |
|---|---|---|
| Before the customer acts | Offer, price, capacity, location, eligibility, policy, availability | Clear answer and next step |
| At the handoff | Booking path, form, provider, phone, WhatsApp, deposit route | Approved action path |
| After a change | New menu, price, policy, hours, provider link, partner requirement | Graph update and retest |
| For partners | Scoped data, readiness status, defects, export reason | Partner-ready report or feed |
Use cases
Business categories
Products and complex offers
Catalogs, bundles, packages, prices, policies, availability, and checkout paths.
Appointments, quotes, and local discovery
Services, eligibility, locations, booking links, phone paths, WhatsApp, and policy clarity.
Venues, hotels, and local services
Capacity, packages, availability, event rules, service areas, and partner handoffs.
Straight answers
The practical questions agencies and partners ask before they put Akii to work for a client.
Why not just publish schema markup?
Schema is useful, but AI commerce needs maintained client data, action paths, evidence, availability checks, and retesting.
Is Akii only for restaurants?
No. Restaurants are a strong example, but the model applies to businesses with offers, policies, availability, and handoffs.
Can Akii handle partner operations?
Yes. Akii supports agencies, platforms, and ecosystem partners with scoped exports, readiness reports, and repeatable workflows for managed client portfolios.
Start with one client whose facts need work.
Structure what the business sells, publish approved outputs, and test whether AI can find the right facts and customer path.