All cases

Business AI director

Your whole business in one conversation

Not a single bot, but a team of AI agents wired into every process. The owner asks in plain words — "how was the week", "where are we losing orders", "who do we win back first", "which channel isn't answering" — and gets an answer in the voice of the right specialist, on the company's real data, with concrete numbers and a recommendation. This isn't a chat over a knowledge base — it's a working analytical loop: the system goes into the data itself, pulls the slice, compares it to the previous period and states the conclusion.

What you lose when the picture is scattered

To understand "how are we doing", the owner has to assemble the answer by hand from different systems. But:

  • data lives in CRM, telephony, inventory, chats, ad accounts and spreadsheets — and nobody pulls it into one picture;
  • to answer a simple "where are we losing money", you have to open 8–10 sources and hold it all in your head;
  • a problem only shows up in revenue days later — when it's too late to react;
  • the team and the channels are judged by feel, with no numbers per person and per campaign.

It's not a bot — it's a team of agents

The market is flooded with "AI in a chat" that takes on everything at once — and stays an amateur at all of it. We build differently: a router hears the question and calls a single specialist agent, and a team of narrow experts gives specialist depth in every area. Each agent is its own "personality" with its own system prompt, priorities and manner; inside a conversation it sticks to the topic and only switches when the topic does.

  • Strategist (lead)Ties every area into one decision — the big picture, priorities, the week's review.
  • FinanceUnit economics, margin, P&L — shows exactly where money leaks out.
  • Marketing & channelsCampaigns, segments, channel returns, broadcast deliverability and response.
  • Sales & customersConversion, loss reasons, churn, segments, base reactivation.
  • Operations & inventoryLoad, bottlenecks, stock, turnover, dead stock.
  • Risk & complianceLegal boundaries, resilience, where the business is exposed.

You get as many experts as your business needs — strategist, finance, marketing, sales, customers, operations, inventory, communication channels, SEO, competitors, legal, risk. We add a new one for every new area. Together they cover the analyst-director's job: gather, explain, advise, monitor.

What it covers — by business domain

The core value is coverage: the system sees the whole business, domain by domain. For each one — what it sees and what it does with it. The content changes per business; the framework stays.

  • Sales & funnelleads, deal stages, conversion (clean vs noisy), lead sources, loss reasons — finds where the funnel leaks and which source pays off.
  • Customerssegments, LTV, RFM, retention and churn, reachability by channel — tells you who to win back first (fresh cohorts are cheaper).
  • Telephonyinbound, missed, answer speed, callbacks, load by hour — shows where calls are lost and how to staff the peaks.
  • Omnichannel chatsvolume by channel, first-response speed, backlog of unanswered with its "age" — reveals which channel is piling up silence.
  • Marketing & campaignsbroadcast history, deliverability and failure causes, channel returns — prepares the segment and cuts dead contacts before budget is spent.
  • Fulfilment & operationsfulfilment channels (external vs in-house resources), speed, losses from resource gaps — where to strengthen the team, where in-house is cheaper.
  • Financerevenue, gross profit and margin, weekly P&L, cost structure — explains what went up or down and why (read-only).
  • Stock & inventorywhat's running out by location, dead stock, days of cover — flags reorders early and money frozen in stock.
  • Loyalty & appusers, activity, referral acquisition, retention — shows loyalty's contribution and where it sags.
  • Strategyone view of the business, key deviations, an auto week-in-review from every specialist on demand.

The analyst leaves — the system stays

A good analyst-director is irreplaceable. But a team of agents covers the weak points every live person has:

  • it doesn't spend days assembling a report — it pulls live data in seconds on request;
  • the director itself runs read-only — wired into the live business but never touching it, it reads and advises;
  • it doesn't keep the business in one head that you can lose;
  • it won't answer shallowly out of fatigue — every question goes to the right expert;
  • where data physically doesn't exist, it honestly says "not tracked" instead of inventing a zero as fact;
  • it won't quit and walk to a competitor, taking all the analytics and processes with it.

People stay where intuition and judgement matter. The director itself runs read-only — a deliberate choice for the analytical brain, so it's never scary to roll out. The doing — answering a customer, responding to a review, publishing a post, sending a campaign — is handled by action agents: with confirmation or autonomously in the background, as far as you're ready to trust them.

Case context

The system was built for a company with an end-to-end cycle "leads → sales → order fulfilment → retention", where data was scattered across several systems: CRM, telephony, accounting, omnichannel chats, ad accounts and spreadsheet exports. To understand "how are we doing", the owner had to assemble the picture by hand, control ran on gut feel, and reaction to problems lagged by days. The goal — to give the owner one counterpart that sees the whole business in real time.

  • 01A router-classifier reads the question and hands it to one of 12 specialist agents — specialist depth instead of a generalist's "average" answer.
  • 02Inside a conversation the agent sticks to the topic; it only switches to another expert when the topic changes.
  • 03Each agent is its own "personality": its own system prompt, priorities, manner. The team grows by adding roles, not by rewriting.
  • 04A shared read-only tool layer: the agent pulls a compact, relevant slice (a domain summary for the period, a customer profile, segments, stock) — not a raw pile of data.
  • 05A role-based data model: the owner sees the full picture, staff see working slices for their area. The same question yields a correct but role-appropriate answer.
  • 06Each user on their own key (BYOK): AI spend is transparent and split per person, with no shared pot.
  • 07Integrations brought into a shared context: CRM, telephony, accounting, chats, finance, advertising and analytics.

Why it's hard to copy

A demo takes an evening. Production is a different thing: pulling a dozen disparate systems into one live picture, keeping an expert's answer accurate and to the point, stopping agents from jumping mid-conversation, and proving the numbers match the sources to the unit, not "roughly". And it isn't a single product: alongside it run action agents — handling conversations with customers, publishing content, responding to reviews, sending campaigns, autonomously in the background. The advisor is the brain for the manager, the action agents are the hands in the channels; on shared data they form a closed loop "work in the channels → records → a prompt to the manager → better scripts". That's "many agents, one wave" — harder than hooking up a single bot.

What we measure on the pilot

We look at what changes management, not "wow demos":

how many seconds it takes the owner to get an answer to a management question — against the hours of manual gathering before;
how many risks and opportunities the system surfaced before they showed up in revenue;
how closely the AI's numbers match the sources to the unit — trust is built on verifiability;
how many actions the system carried out on its own — replies, reviews, posts, campaigns — where you granted it autonomy.

We don't publish other people's numbers or promise a result before the pilot: we track these from day one of your project and show them to you directly.

Talk it through for your business

Tell us which systems your data lives in today — we'll show you what AI director we can put together for you.

Let's talk