Why Google access is requested
When a client connects Google services, AIOrchestra uses the approved access to read analytics, search visibility, or mailbox data needed for the client's own project workflows.
Let your orchestrated AI employees grow your business for you.
Not another AI tool. We configure AI roles such as Researcher, Marketer, Copywriter, CRM, Analyst and more with levels, market context, routines, approvals, budgets, learning loops, and IntenCheck.com emotion and intention measurement, then give you simple control through dashboard or Telegram.
Application purpose
AIOrchestra is a managed business application for teams that want to coordinate research, marketing planning, copywriting, analytics review, CRM intake, approvals, and learning loops without giving AI uncontrolled publishing, sending, spending, or deployment authority.
When a client connects Google services, AIOrchestra uses the approved access to read analytics, search visibility, or mailbox data needed for the client's own project workflows.
Connected Google data is used to show project metrics, detect growth signals, route CRM messages, prepare review items, and improve future recommendations inside the client cabinet.
AIOrchestra keeps live actions such as publishing, external sending, spending, and configuration changes behind explicit approval, project isolation, and audit records.
What we offer
Some companies can assemble their own stack. Most do not want to manage analytics connections, data quality, approvals, cost tracking, and cross-team coordination. That is the service: we configure the team, keep the process governed, and turn each cycle into reusable learning.
Your AI team is configured from roles and modes that fit your business. The chatbot or Telegram interface is only the remote control; the real product is the governed team and orchestration behind it.
We connect data sources, domains, blogs, workstreams, routines, approval rules, and the first KPI baseline.
Agents are not generic. Each one is configured with the right role, authority, budget limits, and business context.
Daily collection, weekly growth cycles, manual START intensity, Telegram priority intake, and human approval before publication.
Client control
AIOrchestra is managed, but it is not a black box. You can use the dashboard or Telegram Secretary to send urgent ideas, shape agent behavior, set intensity, and read what the system is doing without learning technical internals.
Send ideas, corrections, priorities, or voice notes while you are away from the desk. The Secretary transcribes, clarifies, confirms, and routes them to the right Workstream before anything becomes action.
Tell AIOrchestra what you want an agent to do. The setup consultant turns it into a safe configuration proposal, shows it in readable language, and applies it only after approval.
AIOrchestra can translate its own campaign plans, risks, changes, and required decisions into plain business language, so you understand what the team is doing without reading raw agent output.
The system
AIOrchestra is designed as a managed implementation: the live stack is configured for each client, while new modules can be added without changing the business vocabulary.
One Marketer can operate as founder-side advisor, small-business growth lead, department planner, or corporate governance partner.
Domains, brands, countries, languages, content history, analytics, budgets, and learning rules stay separated where they should.
Daily collection, weekly Growth Cycle, resilience tests, manual START cycles, and future campaign-specific routines.
When the team accepts a risk, it is remembered and later compared with real outcomes.
Role library
Start with one agent if that is enough. Add supporting roles when you want market context, performance signals, native language, publishing, or safer external communication. Each card shows what the next level adds.
If you only need one-off text without BackOffice, a chatbot may be enough. AIOrchestra is for work that needs memory, routines, approvals, safety, monitoring, and learning.
Click a card to cycle L1-L4. Higher levels include the previous level and add responsibility.
Business signal intake
Market and source pulse
Direction and continuity
Content production
Business mail understanding
Market-native language
Approved release path
Fast intake and routing
Same agent model, different disclosure. Product Owner and Accountant can be inspected; the rest work at L4 under the hood.
Client journey opening
Client journey closing
Coordination engine
Agent growth command
Learning discipline
Method memory
Execution engine
Challenge layer
Evidence loop
Human signal guard
Reliability guard
Resilience tests
Expert role licensing
AIOrchestra separates platform mechanics from your business expertise. We provide orchestration, approvals, budgets, audit trail, learning loops, publishing and safety mechanics. Your operational know-how can stay private, or a safer baseline version can be packaged as a reusable role for other teams.
Your best methods, sensitive criteria, and competitive operating details can stay locked to your own Workstreams.
A safer, more general version of your expertise can become a reusable agent role if both sides agree on quality, ownership, and commercial terms.
This is not an open free-for-all marketplace. Roles are reviewed, governed, and licensed carefully so clients can trust what they deploy.
Crash Test Routine
The testing layer deliberately stress-tests assumptions, approval points, publishing paths, cost limits, and recovery paths. The Coach then checks what was learned and whether the AI team became smarter.
Controlled chaos is not a tolerated accident. It is a required system component: useful for discovery, resilience, and learning, but never allowed to publish, spend, deploy, or change live processes on its own. Your business gets calm operations because AIOrchestra absorbs the chaos first.
IntenCheck.com API layer
AIOrchestra can route near-final landing pages, ads, posts, and emails through IntenCheck API to create a communication fingerprint. The business then measures not only clicks and sessions, but also the tone, pressure, trust, clarity, and emotional signal sent into the market and received by the audience.
Learning loop
Researcher brings sources and fresh angles. Marketer turns them into direction. Copywriter creates native content. Critic challenges assumptions before they become expensive. Analyst closes the loop with evidence. The learning base gets stronger every cycle.
Self-onboarding V1
AIOrchestra first learns what kind of help you need, then assembles the minimum useful team, workflow, and review rhythm. The first stage is calibration, not a paid lock-in.
Use AIO to calibrate your team, reject weak outputs, teach your Product Owner, and find the workflows that are worth paying for later.
Refunded if you stop after calibration; credited to the first paid invoice if you continue.
AIO creates a starter site and blog path for a project that does not yet have a team or operating base.
AIO adds a blog, SEO rhythm, analytics, and a controlled growth workflow around the existing website.
AIO starts from social content, messaging rhythm, and learning from audience reactions before a full site is needed.
AIO takes over repetitive growth, content, CRM, or reporting routines while you keep final control.
Planned work can continue even while review items are still open.
A new manual run starts only after the previous manual review work is published, rejected, or archived.
Rejected work needs usable feedback so PO, Marketer, Researcher, Copywriter, HC, Critic, and 007 can fix the real cause.
Commercial model
You do not buy tokens as the product. You choose AI roles, choose their seniority level, choose the market they work for, and set how often they run. AIO credits keep the operating model transparent while each market keeps its own fair rate.
We align pricing with market reality so clients in different regions can access the same AIOrchestra standard on fair terms. External AI tokens and third-party provider costs stay visible separately in real currency.
See the market tariff and a preliminary first-month budget before implementation starts.
AIOrchestra is omni-lingual. Type it as you use it: France, Lietuva, Deutschland, भारत, 日本.
The landing page displays the AIO server estimate. It does not calculate regional pricing in the browser.
from 100 AIO credits
External services, analytics, domains, publishing paths, workstreams, dashboards, routines, first agent configuration, and launch support.
50 AIO credits / month
Orchestrator, Coach, Critic, Accountant, Methodologist, crash-test logic, approvals, usage accounting, and learning discipline.
from 10 AIO credits / agent
Pay a monthly availability fee for each controlled agent, then pay only for the runs you actually start or schedule.
The same role can work at different responsibility levels. Higher levels are not just for bigger companies; they are for higher-risk, higher-impact work.
AIOrchestra is omni-lingual. Type it as you use it: भारत, اليابان, 日本, Україна.
Market is resolved from target-market evidence first: domain and site language, for example .cloud + Hindi = India, .fr = France. If that is inconclusive, legal/billing country and then phone prefix are used. Country rates use World Bank GDP per capita (current US$), latest available 2020-2024 data.
AI tokens, provider APIs, ads, transcription, crawling, and other third-party costs are shown separately in real currency.
Total = AIO credits x market rate + external provider costs
Managed implementation
AIOrchestra is offered as a managed implementation. We do not promise that every future module is already finished. We promise to install a governed AI growth process and expand it around your business priorities.
Contact
Use the form or write directly to info@AIOrchestra.eu. Form submissions go into the AIOrchestra CRM for human review before any reply is sent.
Built for ourselves first
Security and safety are not a promise written for buyers. They are a promise we had to make to ourselves.
AIOrchestra serves our own projects, data, workflows, and business accounts first.