Requests arrive in five places
Web form, phone, shared inbox, a chat channel, a message someone received personally. Whether a request gets answered depends on who happened to be looking at which app.
AI Operations
TheZaraAI builds AI automation for operations teams — intake, qualification, scheduling, reporting, and handoffs, run by agents on the tools you already use. Every action is logged, attributable, and reversible. Prices are published below.
Free · No credit card · You leave with a ranked list of what to automate first
One workflow · one morningAudit trail
Illustrative interface with fictional data. Not live customer activity, and not a performance claim. The point is the shape of the record, not the numbers in it.
The problem
Not the strategic work. The daily mechanics that decide whether a lead is answered, a job is scheduled, or a report is right. Below is where the hours actually go in an operations team under $100M in revenue.
Web form, phone, shared inbox, a chat channel, a message someone received personally. Whether a request gets answered depends on who happened to be looking at which app.
Territory, urgency, budget, decision authority. Everyone applies them slightly differently, and nobody writes down why a request was passed over.
Offer times, wait, lose the slot, offer again. Meanwhile the calendar has capacity that nobody is looking at, and the customer has called a competitor.
Someone exports, pastes, reconciles, and formats. By the time the report is circulated it describes a week that is already over.
Sales to operations, operations to delivery, delivery to invoicing. Each pass loses detail, and the loss only surfaces when a customer complains.
When something goes wrong you can reconstruct roughly what happened by asking people. That is not a record. It is a recollection, and it arrives after the damage.
This is not a tooling problem, and adding an AI pilot on top of it does not fix it. 37% of organizations report using AI only at a surface level, with little or no change to underlying processes, and only 21% report a mature model for agent governance (Deloitte, State of AI 2026). Only 9% of organizations have fully deployed an AI use case (Accenture).
The risk is not using AI badly. It is running it without a record.
What gets built
Agents run on the stack you already have — email and calendar, file storage, Slack or Teams, Notion, your CRM, your scheduling and ticketing tools. Nobody is asked to move into a new dashboard.
Every inbound route lands in a single queue with the source stamped on it. Missed calls trigger an immediate reply and continue by message.
You receiveA connected intake path per channel, with the routing rules written down and a named owner for each queue.
Territory, urgency, budget, and decision authority checked the same way every time. Anything failing a rule stops and goes to a person.
You receiveA written rulebook, the escalation paths, and the explicit list of decisions the system may never make alone.
Only genuinely open slots are offered. Assignment follows your rules — route, skill, workload — and the confirmation and calendar hold are written immediately.
You receiveA live calendar integration, the assignment logic in writing, and the confirmation templates your team can edit.
The numbers are written as the work happens rather than reconstructed on Monday. Definitions are fixed once so two people cannot produce two answers.
You receiveA scheduled report on the cadence you choose, plus a definitions sheet naming exactly how each figure is counted.
The record moves between stages with everything attached. No retyping at a boundary, and no detail lost because the person who knew it was on leave.
You receiveA mapped handoff for each boundary, the fields that travel with it, and the exception path when a field is missing.
What acted, on what basis, at what time, and what it touched. Written before go-live, not added after an incident makes someone ask for it.
You receiveAn audit configuration you could show an auditor, and an access inventory naming what each system can reach.
How it works
The same process the whole practice runs on. No stage begins before you have seen what the last one produced. You can stop at any gate and keep everything built so far.
A free 15-minute call, then a short working session. We walk your intake, your queues, and your Monday reporting, and rank the friction by what it costs you — usually not where people expect.
We specify the workflow before building it — triggers, qualification rules, exceptions, escalation paths, and the explicit boundary of what the system may never decide alone.
Implementation against the spec, in test mode — your real tools, your real data shapes, but not your real customers until you say so.
The stage most automation work skips. Access is narrowed to what each step needs, credentials move into managed storage, and the audit trail goes on before go-live. Deeper testing and governance sit in the Secure AI practice.
Go-live, then the unglamorous part: watching it, tuning rules as your season shifts, and keeping it working as vendor APIs move underneath it.
Outcomes & evidence
Automation is easy to demo and hard to trust. These are the artefacts an AI Operations engagement produces — the things that outlive the enthusiasm of week one.
The live workflows themselves, on your accounts and your credentials, doing intake, qualification, scheduling, reporting, and handoffs. You can switch any of them off without calling us.
Every automated action attributable, timestamped, and reversible. When something goes sideways you can see what acted, on what basis, and when — before you have to explain it to anyone.
How to operate it day to day: what each workflow does, how to change a rule, what the alerts mean, what to do when a vendor API moves, and who to call in what order.
Credentials, accounts, specs, and diagrams transferred to your team, written so they can operate and modify the system without us. Dependence is not a business model we are interested in.
Every trigger, rule, handoff, exception, and escalation path documented — including what the system deliberately will not do on its own.
A plain list of which system can reach which data, under whose credentials, with least-privilege applied and the remaining gaps named rather than hidden.
We do not publish customer counts, revenue impact, time-saved figures, or security outcomes on this site. Numbers like those are trivial to invent and impossible for you to verify, so treating their absence as a signal is reasonable. Client references are available on request and with client permission, matched to your sector. Ask on the call.
Pricing
Published, in text, before you speak to anyone. A fixed-scope build is the right first step if you want proof before a relationship. A monthly engagement is the right step once you have more than one workflow to fix.
Hand your email and your files to a lean assistant. Built in under 30 days.
Connect your calendar and the tools your day actually runs on. Roughly six weeks.
Keeps the agent running as your tools and their APIs change. The default next step after handoff.
Get one workflow off your plate at a time, done properly. The usual entry point.
Ship new automations while what is already live keeps getting tuned.
Run AI operations with an embedded partner. Security leadership included, hosting covered.
All prices in USD. Reconnaissance and Operations add $325/month for hosting & security — managed hosting, uptime monitoring, updates, and patching. That is already inside Command. One-time builds cover a fixed scope; anything beyond it is quoted separately and can roll into a monthly engagement.
See the full pricing section and the engagement selector on the homepage — four questions, and you get the engagement shape that fits with its actual price.
Free download · two questions
The practical guide we wrote for people who want to build and secure their own agents. Answer the two questions below and it downloads straight away, with a copy to your inbox. If it saves you hiring us, that is a perfectly good outcome.
Questions
The one that is high volume, rule-shaped, and already documented in someone’s head. Intake and qualification usually win, because they run every day, they follow rules a person can state out loud, and a delay there costs a deal rather than an hour. We rank candidates on the discovery call and write the ranking down. Some of what you want automated should not be — we will say which, and why.
That is the constraint we build to. Email and calendar, file storage, Slack or Teams, Notion, CRMs, scheduling and ticketing tools, and most systems with a usable API. Nothing here asks your team to move into a new dashboard. If a system you depend on has no API, we say so in the design stage rather than building a fragile workaround and handing you the maintenance bill.
It escalates instead of guessing. Every workflow is specified with the rules it must satisfy and the boundary it may never cross alone. Anything that fails a rule, or falls outside the rules entirely, stops and goes to a named person with the context attached. When something does go wrong, the audit trail tells you what acted, on what basis, and when, so the fix is a rule change rather than an investigation.
Start with a build if you want proof before a relationship. The Starter Agent is $325 one-time and the Integrated Agent is $789 one-time, both fixed scope, both yours to keep. The $197/month care plan carries the agent after handoff. Move to a monthly engagement when you have more than one workflow to fix — Reconnaissance starts at $1,424/month. A build can roll into a retainer later; nothing is rebuilt to make that happen.
You own it. The accounts, the credentials, the workflow spec, and the runbook are yours, written so your team can operate and change the system without us. You then choose: keep it in-house, take the care plan, or move to a monthly engagement. Dependence is not a business model we are interested in, and the handover document is written on the assumption that you might leave.
The Starter Agent is delivered in under 30 days and the Integrated Agent in roughly six weeks. On a monthly engagement the first workflow usually reaches live operation inside the first month, because the build stage runs in test mode against your real tools before anything is allowed to reach a customer. You see working output at every gate, not a status update.
15-minute discovery call
A short working call, not a sales sequence. We walk your intake, your queues, and your reporting, and name the specific places manual effort is costing you. Free, and it books straight into the calendar.
Free · No credit card · No obligation to buy anything afterwards
Read what gets built — six deliverables, each with what you receive.
Read the five stages — and the decision you make at each gate.
Read the prices — builds from $325, monthly engagements from $1,424.
Read the Secure AI practice — for knowing what your AI did, who told it to, and what it touched.
Back to TheZaraAI home — the interactive demo, the founder, and the full FAQ.
The five workflows every business should automate first — how we rank candidates before anyone spends money.
What an AI agent actually is — the plain definition, without the pitch.
Putting an agent on your email — the workflow most teams start with.