Service-business templates
Start with models for services, offers, bookings, appointments, quotes, B2B inquiries, local discovery, and partner handoffs.
Built for agency portfolios
Service-Business Client Fit
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 Akii powers
Each part of Akii helps the business become easier for AI chatbots and agents to understand, compare, and route to the right customer action.
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
How client businesses become agent-usable
The workflow turns scattered business information into approved data, customer paths, checks, and fixes that can be repeated as the business changes.
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
AI commerce requirements
The important details are structured so businesses, agencies, and AI systems can rely on the same approved version of what is true.
| 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.
Common questions
Short answers for agencies and partners evaluating how Akii helps service-business clients become easier for AI systems to understand.
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.
Create your agency account, then publish the client AI commerce layer.
Start with one client. Structure what the business sells, publish approved AI-readable outputs, and test whether agents can understand and route the right next step.