Agentic AI development: make your business agent-ready
Customers are starting to ask assistants to book, order and check instead of visiting your site. We prepare your business so those assistants can do it with you: assessment, build, review and launch.
- One MCP server, every major assistant
- Account linking with OAuth 2.1, scoped tools
- Evaluated before launch, monitored after
What agent-ready means
An assistant can only act for your customers if four things are in place. We build all four.
Actions an agent can call
Booking, ordering, rescheduling: each one a clearly described tool on your MCP server, so assistants call the right one.
bookings.createAccounts it can sign into
Customers link their account once with OAuth. The agent sees only what that customer is allowed to see.
scope: bookings.writeData it can trust
Products, prices, stock and opening hours that are structured and current, so the agent never offers what you can't deliver.
availability: liveRules it must follow
Confirmation before anything is paid or booked, limits on what it may change, and a log of every call.
confirm: required
Most businesses have one or two of these. The readiness check shows which.
What an agent does for you
Your customers ask an assistant. The agent answers with your products, your rules and their account.
Reorder the towel set I bought in March
Lumen Home · account linkedYour March order was the linen towel set. Same address and card as last time?
Repeat orders in one sentence, with stock and prices from your own catalogue, confirmed by the customer before payment.
Book a table for 4 tonight at 8 pm
Ada Bistro · account linkedAda Bistro has a table for 4 at 20:00 tonight. Shall I book it?
Bookings land directly in your reservation system, under your own name, with your table rules applied.
Move my cleaning appointment to Friday
Nova Dental · account linkedNova Dental has two Friday slots with the same dentist. Morning or afternoon?
Patients change appointments at any hour; your calendar decides which slots are offered.
How many seats are we using this month?
Your product · account linkedYour workspace uses 46 of 50 seats. Want the list of people who haven't signed in this month?
Customers get answers from their own account data, and your support team keeps the questions that need a person.
From one tool to a working agent
Senior engineers build the whole path: what the agent may do, how users sign in, and how we know it works.
MCP servers and tool design
We choose the actions and data to expose, describe each tool so assistants call it correctly, and host it.
Account linking with OAuth 2.1
Users connect their account once. Each tool gets only the permissions it needs, and every call is logged.
Android AppFunctions
When actions must run on the phone, we expose your Android app's functions to Gemini with the Jetpack SDK.
Interactive answers with MCP Apps
Cards, forms and confirmations inside the chat, so users check the details before anything is booked or paid.
Internal agents on your data
Agents for support, operations and content that work on your CRM, CMS and documents, with a person approving.
Evals, guardrails and monitoring
Test sets of real requests before launch, hard limits on what an agent can do, alerts when errors rise.
Build once, show up everywhere
MCP is an open standard for connecting assistants to your tools. You own the server; adding an assistant is configuration, not a rebuild.
Diagram. Your systems (product catalogue, bookings, CRM, customer accounts) connect to one MCP server with OAuth 2.1 and passing evals. The server connects to Google Search, the Gemini app, ChatGPT and Claude.
Product names show compatibility only. Each assistant has its own review and market availability; we handle the listing on every one you choose.
From readiness check to launch
Five steps. Nothing goes live until you approve what the agent can do.
- 01
Readiness check
Which actions and data are worth exposing, and which must never be. You get a map and a clear go or no-go.
- 02
Tool and permission design
Tool names, inputs, scopes and the sign-in flow, agreed with you in writing before we write code.
- 03
Build and evaluate
We build the server and test it against real requests, edge cases and attempts to misuse it.
- 04
Submit and launch
Each platform's review, such as Google's Connected Console, then launch on the assistants you chose.
Platform review - 05
Monitor and improve
Traffic, latency and error rates every week. New tools are added once the first ones prove useful.
Ongoing
We built our own agency on agents
Our SEO and content work runs through MCP-connected agents every day, with a person approving each change.
The same practices go into the agents we build for you.
- 01Crawl and search data arriveread
search_console.query · crawler.run - 02Agents draft a prioritised task listdraft
agents.prioritise - 03A specialist approvesapproved
review.approve · Semroi specialist - 04The change ships to the CMSshipped
cms.update_page - 05Measured against the baselinemeasured
analytics.compare
Simplified trace of our internal workflow.
Start small, then scale
Products ready to put real actions in front of assistants, with review and launch handled for them.
- Commitment
- Per project
- Team
- AI engineers + PM
- Production MCP server and OAuth linking
- Eval set and guardrails
- Connected Console submission and review
- Connection to ChatGPT and Claude
Priced on the number of tools and systems, quoted at the end of the sprint.
Fixed scope, agreed before we start.
Teams who want to know what an agent should do for them, and see it working, before they commit to a build.
- Commitment
- One-off
- Team
- AI engineer + PM
- Map of actions and data worth exposing
- Risk and permission review
- Working prototype on your test data
- Launch plan for each assistant
Prices exclude VAT. Quoted after the readiness check.
Priced on the number of tools and systems, quoted at the end of the sprint.
Products ready to put real actions in front of assistants, with review and launch handled for them.
- Commitment
- Per project
- Team
- AI engineers + PM
- Production MCP server and OAuth linking
- Eval set and guardrails
- Connected Console submission and review
- Connection to ChatGPT and Claude
Prices exclude VAT. Quoted after the readiness check.
Sized to traffic and the number of tools.
Agents already live that need a senior owner: monitoring, fixes and new tools.
- Commitment
- Monthly
- Team
- AI engineer
- Weekly traffic, latency and error review
- Evals re-run after every change
- New tools every cycle
- Platform and policy changes tracked
Prices exclude VAT. Quoted after the readiness check.
What does agent-ready mean?
That an AI assistant can act for your customers with you: call your booking or ordering functions, sign into their account with their permission, rely on current data and follow your rules. Google Search, the Gemini app, ChatGPT and Claude all support this through MCP servers.
MCP server or AppFunctions: which do we need?
Most businesses start with an MCP server: it runs in the cloud, works on every device and also connects to ChatGPT and Claude. AppFunctions suits Android apps whose actions must run on the phone. The readiness check tells you which one, or both.
Do we need an Android app?
No. The MCP server path needs a web service with an API, not an app. AppFunctions only matters if you already have an Android app and want Gemini to use it on the device.
Is it available in Turkey and Romania yet?
On Google, apps in Search and Gemini are a phased preview that opens by market. We track availability and apply with you. Meanwhile the same MCP server can already be connected to ChatGPT and Claude.
How long does platform review take?
The platforms do not publish review times. We plan for it: the server follows each platform's policy from day one, and the launch date in our plan moves with the review rather than the other way round.
How do you keep our data and customers' accounts safe?
Users sign in with OAuth 2.1 and grant only the scopes a tool needs. An agent can do nothing you have not exposed as a tool, actions that cost money ask for confirmation, and every call is logged. We test misuse attempts before launch.
Will it also work in ChatGPT and Claude?
Yes. ChatGPT and Claude both connect to MCP servers, so the server we build for Google serves them too. Each platform has its own review and listing rules, which we handle in the same project.
What does it cost?
It depends on how many actions and systems the agent touches. The readiness sprint has a fixed scope and ends with a quote for the build, so you know the full cost before you commit.
Is your product ready for agents?
We map the three actions worth exposing first and your path to launch, in a 30-minute call.
- A senior engineer runs the call
- A reply within one working day
Be where customers ask
People now ask assistants to book, order and check. Let them do it with you.