Divine Oracle Tech
Custom AI systems · built around your business
Divine Oracle Tech builds custom AI systems that take recurring work off a business owner's plate, like following up with leads, scheduling, paperwork and reporting. We map how your business actually runs, build the system around that, and train your team to use it.
What we do
We design, build and install custom AI systems. Inside each one, specialized AI agents carry defined jobs: intake, follow-up, scheduling, documentation, reporting, reconciliation, coordination, and the other recurring administrative work of running a company.
Owners mark what they want help with, and their top two or three become the starting point for the design. Open any area for examples.
Lead capture, inquiry response, follow-up sequences, qualification, proposals, scheduling.
Social media, email marketing, content, repurposing, review management, campaign reporting.
First-response triage, routine inquiries, ticket routing, status updates, onboarding.
Work intake, scheduling and dispatch, progress tracking, vendor coordination, standard operating procedures.
Invoicing, receivables follow-up, expense capture, bookkeeping preparation, financial reporting.
Applicant screening, interview coordination, employee onboarding, training materials.
Contracts from templates, renewal and deadline tracking, certificate and permit tracking.
Data consolidation, recurring reports, exception and threshold alerts, forecasting.
Team scheduling, meeting notes and follow-up, task tracking, cross-company coordination.
These are areas we explore with you. Whether a specific idea fits your business, and how, is something we confirm together on your discovery call.
How an AI agent team works
Go as deep as you like. Each layer builds on the last, with an everyday picture for every term.
An AI model is the engine underneath tools like ChatGPT. It learns the patterns in how language and ideas fit together. When you send it a message, it doesn't look up a stored answer. It generates one, piece by piece.
Picture thisSomeone who has read a vast library and can discuss almost anything, but has never set foot in your business. Capable, yet they don't know your prices, your customers or how you like things done until someone tells them.
Because a model generates rather than looks up, it can produce something that sounds right and is wrong. That's a normal property of the technology, and it's why good systems give models real information to work from and keep a person involved where it matters.
A prompt is what you say to a model. Standing instructions tell it what its job is and what rules to follow.
Picture thisThe difference between asking a stranger a question and giving a new colleague a full job description. Much of the craft of building agents is writing that description well.
A chatbot answers when spoken to. An AI agent carries a piece of the work. It reads what comes in, follows its instructions, uses the tools it has been given, and prepares or completes the next step.
Look at any agent through four questions. Here they are for a follow-up agent:
Agents and ordinary automation. "When a form arrives, send this email" is a rule, like a vending machine: press B4, get B4. Rules are excellent for fixed steps. An agent can also handle work that needs reading and interpreting, such as working out what a customer's message is asking for. Good systems often use both.
Several agents working together, each with a clear role. Picture a restaurant kitchen: one station takes the order, one cooks, one plates, and someone checks each dish before it leaves. Work passes along a known path.
A function is one area of work the system handles. An integration is a connection to a tool you already use, like a key card that opens certain doors and not others. These units are how we scope our work.
Work that repeats, with steps someone could write down: reading, sorting, summarizing and drafting from clear information.
Decisions that carry real responsibility, difficult conversations, and situations nobody planned for. That's why our first design question is what you want to keep in human hands.
A day, before and after
Three made-up businesses, shown so you can picture a design. They don't describe any client or report any result. Notice how different the designs are. That's what custom means.
IllustrativeA heating and plumbing company with an owner, an office manager and a crew of field technicians.
Website forms and emails from overnight are waiting. The office manager works through them between phone calls.
An agent has read each inquiry, logged it, flagged anything that may be urgent for a person using the owner's rules, and drafted a reply. The office manager reviews and sends.
A job runs long. The schedule changes by phone, and customers further down the list aren't told.
An agent proposes calendar changes and drafts status updates for affected customers. The office manager confirms them.
Job notes sit on a clipboard, and the owner tries to remember which invoices need chasing.
An agent prepares draft invoices from job notes and gives the owner a short list of overdue ones, with reminders ready to approve.
Stays human: pricing judgment, emergencies, upset customers, decisions on site.
IllustrativeA small consulting firm with two partners and a few staff.
After a client meeting, the action items live in one person's notebook.
From the meeting notes, an agent drafts a summary and task list for the partner to approve. Any recording happens only with everyone's consent.
A senior person writes a proposal from a blank page, hunting through old files for wording.
An agent drafts the proposal from the firm's approved templates. The partner shapes the advice and sets the price.
Someone rebuilds the client status report by hand from several tools.
An agent pulls the data into a draft report in the firm's format, flagging gaps for a person to fill.
Stays human: client advice, pricing, relationships, final sign-off on anything a client reads.
IllustrativeOne owner runs a cleaning company and a property maintenance company, each with its own staff and tools.
The owner checks two inboxes and two calendars, and holds the full picture in their head.
The owner reads one morning summary: what needs them today, listed company by company.
A request for the other company lands in the wrong inbox and gets forwarded by hand.
An agent routes each request to the right company. The design keeps each company's data separate, and proving that in your environment is part of the work.
Insurance and permit renewals are tracked in a spreadsheet and in memory.
An agent tracks the dates and raises reminders ahead of time. A person handles each renewal.
Stays human: hiring, money decisions, commitments, signatures.
Inside a DOT Command Center
In a Command Center, each person gets their own named lead agent: the Chairman.
The Chairman commercial
Premiering soon
How an engagement runs
Before the first call you receive a short questionnaire and our written fee structure, so prices are on the table early and you arrive prepared. Estimates are fine, and anything can be left for the call.
A complimentary conversation of 45 to 60 minutes about how your business runs, what piles up, and what must stay human.
Within 24 hours you receive a written recap: what we heard, in your words, and the proposed next step.
After the recap, the path splits
Engagements & fees
We scope by functions, agents, companies and integrations. Every engagement has a one-time implementation fee, covering architecture, build, installation, training and documentation, and a monthly fee that starts only once your system is installed and accepted. You are not billed monthly during the build. Your exact scope is set on your discovery call and confirmed in writing.
One company · one point of friction
One function, one company. A single point of friction: inbound inquiry response, appointment scheduling, invoice follow-up, or a comparable discrete function.
$1,500implementation
$697per month
One company · a whole workflow
Multiple functions, one company. Several related functions in one part of the business, such as an entire sales intake and follow-up sequence, or a complete client-service workflow.
$3,000implementation
$1,497per month
One company · one coordinated system
Full functional stack, one company. Sales, service, operations, finance and administration working as one architecture rather than as separate tools.
$5,000implementation
$2,997per month
| Launchpad | Operations | Command | |
|---|---|---|---|
| Architecture, build & installation | Included | Included | Included |
| Live training sessions | 1 | 2 | 4 |
| Written operating runbooks | Included | Included | Included |
| Recorded system walkthroughs | — | Included | Included |
| Standard operating procedures | — | — | Included |
| Support | Email, business hours | Email, business hours | Email, business hours; response within 24–48 business hours |
| Performance review | Annual | Semi-annual | Quarterly |
| Included revisions after launch | 1 round, 30 days | 2 rounds, 60 days | 3 rounds, 90 days |
Timelines are typical; your real plan comes from the scope. Functions, agents or integrations beyond a tier's allowance are quoted separately and can be added at any time.
Two or more companies
$3,500two weeks
For two weeks we map how your companies actually run and design the system. We don't issue a build quotation for multi-company work before the Sprint. You receive:
The documents are yours. Once the Sprint fee is paid, the written Sprint deliverables prepared for you belong to you, whether or not the engagement advances. The reusable Divine Oracle Tech methods, designs and materials they draw on stay with us, and you receive a license to use them as part of the deliverables.
Credited if you build. The Sprint fee is credited against the build fee if we both sign the implementation agreement within sixty days after the Sprint deliverables are delivered. The credit has no cash value and doesn't apply to monthly fees.
Be sure it's worth it to you. The Sprint fee is non-refundable, with one exception set out in the Sprint agreement: a full refund if we cannot perform the Sprint at all, or cannot perform a scheduled date and you cannot reasonably accept any of the new dates we offer.
The architecture and build are identical. The models differ in where the system is hosted and who holds the accounts it runs on. Each company operates within the shared system under its own governance and data boundaries. Our founder walks you through which fits.
Model A
Runs in an environment you hold
The system is designed, built and installed in an environment reserved to you. You hold the administrative credentials and the encryption keys, and we reach it only through named accounts you create and can revoke at any time. We operate part of the system and remain responsible to you for that work. The hosting, AI model and other service accounts are held in your name and paid by you directly, and we tell you in advance what they are and what they are for.
Included: four live training sessions, written operating runbooks, recorded system walkthroughs, and business-hours support via email.
Model B
Operated by Divine Oracle Tech
We provision dedicated infrastructure and take responsibility for hosting, monitoring, maintenance and continuity. You access and use the system; operational responsibility stays with us. We hold the AI model and hosting accounts, and you pay their costs. Managed deployment adds four to six weeks of infrastructure provisioning before first production release.
Included: continuous monitoring, scheduled backups with tested restoration, security patching, incident response, and quarterly system review.
| Functional areas covered | As set out in the firm proposal for each company in scope |
|---|---|
| Configured agents | As set out in the firm proposal for the architecture |
| System integrations | Up to 15 per company |
| Cross-company coordination | Shared architecture with per-company data separation |
| Architecture assessment | Included via the Architecture Sprint |
| Phased implementation plan | Included |
| Live training sessions | 4 per company |
| Written operating runbooks | Per company |
| Recorded system walkthroughs | Included |
| Standard operating procedures | Included |
| Support | Email, business hours; response within 24–48 business hours |
| Performance review | Quarterly business review |
| Included revisions after launch | 3 revision rounds within 90 days of each company going live, within the scope of the signed agreement |
| Adding companies | Available at any time under a new license line |
| Typical implementation timeline | 12–20 weeks, phased by company |
Ownership & how we protect quality
Your data, your content and the materials you provide. We claim no ownership of them. Client data is confidential: it is used to deliver the engagement and run the system for you, and otherwise only as your signed agreement allows.
Divine Oracle Tech owns the system it builds, including its architecture, workflows and configurations. These are licensed to you under the signed agreement, not sold. A license is permission to use something under agreed terms while the original owner keeps it.
Deployed systems carry a "Powered by Divine Oracle Tech" attribution on customer-facing websites, applications and interfaces, like a builder's name on a plaque. It's a standard licensing term and doesn't change who owns your data and content.
Systems can include a human approval step, so a person reviews something before it goes out. You choose where. A routine confirmation may need none; a proposal or a complaint response may need a yes every time.
Our significant deliverables get a second review before they reach you, by a reviewer whose job is to find what's wrong, the way an editor checks a story. The reviewer may be a specialist AI agent.
We say what is built, what it does and what it costs, accurately. If we don't know something, we say so and find out.
Because a promise we can't back isn't kind to anyone, you won't hear us claim specific savings or payback, accuracy figures, compliance certifications we don't hold, guarantees beyond your written scope, or that a system will replace your staff. What a system means for anyone's role is your decision.
Questions owners ask
You might well start there. Those tools are excellent, and many owners should use them. The difference is that a tool waits for someone to operate it, while a system is set up around your business, connected to your tools, and carries a defined job, with a person approving what matters.
As deep as you like. We explain things plainly if you want the result, and we go all the way into how it works if you want to know. Section II above is a good place to start pulling the thread.
Your data stays yours. Like any AI system, ours use outside AI and cloud providers to process work, and we tell you which ones. Client data is confidential: it is used to deliver the engagement and run the system for you, and otherwise only as the agreement you sign allows. Our founder confirms where your system runs, and the data terms come to you in writing.
We hold no compliance certifications today. Our founder can go through where your system would run and the security design with you. If your work involves regulated health, financial or legal data, she joins that conversation before any scope is discussed.
Yes, it can. That's why you decide what a person approves before it goes out, and why we give the system real information from your business to work from.
That's your decision, not ours. Most owners want their people freed from repetitive work, and we design around what you want to keep human.
No, and we'd be cautious of anyone who does. What we commit to is what's in your scope and written agreement. We define success with you first.
We're a small, founder-led firm, led by our founder, Zahara Sage. We work with an outside delivery partner and a workforce of specialist AI agents, and our founder walks you through who does what for your project.
Our published fees are in section VI: three single-company tiers (Launchpad, Operations and Command), and for multi-company work the Architecture Sprint and two operating models. Your firm scope and price are set on your discovery call and confirmed in writing (for multi-company work, in the proposal at the end of the Sprint). AI model and hosting costs are passed through to you and are not part of our fees. We can do it smaller. We don't do it cheaper.
You get live training with your own people, written runbooks, scheduled performance reviews and included revisions after launch, because real use always teaches something, plus support as set out in your agreement. Higher tiers add recorded walkthroughs and written standard operating procedures.
Good. Compare who owns your data and content, what is licensed rather than owned, what you can take with you if you leave, and who runs the system day to day. We'll give you our answers in writing.
Those terms live in your signed agreement, and we'd rather give you an exact answer than a quick one. Ask on your discovery call and our founder will walk you through it.
Book a discovery call
Complimentary, 45 to 60 minutes. By the end, we'll both know if there's a fit, and either answer is fine.
