Operations first
Intake, jobs, and handoffs
Client intake, job progress, and approvals live in one runnable flow. Staff and customers see the same record; AI acts where your policy allows.
Startups
AI on how your business already works.
Tealfabric is for startups in retail, services, and professional practices that want AI on real operations: how work runs today, so the office, the client surface, and your team share the same process.
We start with one workflow that matters and grow the twin from there. Your ops lead and our forward-deployed engineer land the first slice; your staff run it.
Start with work you already run
AI lands best when it shares the intake, records, and handoffs your office uses every day.
Your attention belongs on stores, clients, jobs, and cases. Tealfabric helps you encode that work once, then add automation and assistants on top—with audit and approval built in.
Your team stays central
Craft and judgment stay with people
Owners and ops describe how work should run; we land the first slice together. You keep hiring for the craft while the twin carries the routine.
Encode how you operate, put AI on that twin, and change clouds or models when you need to—your processes stay in your tenant.
Startups in retail, services, and professional practices
If you are building a business in one of these sectors, you are in scope. We put AI on the work you do every day.
The main value is goods, visits, advice, labour, or a professional outcome. Tighter operations and AI support that delivery; the craft stays central.
Professional services
Law, accounting, consulting, architecture, agencies that deliver human work.
Intake, documents, review, a client portal, and handoffs are the company. AI sits on those paths with a human in the loop when it matters.
Service companies
Field service, facilities, logistics, specialist trades, care-adjacent operations.
Work is jobs, crews, customers, and exceptions. The twin carries dispatch rules, handoffs, and customer context in one place.
Retailers and merchants
Stores, wholesale, and specialty retail that already have POS, inventory, and accounting.
AI and automation on commercial operations—supplier work, customer service, claims, onboarding—with the team you have. Specialist systems stay where they belong.
Owners who hire for the craft
Operators who grow by hiring technicians, store managers, and associates.
Someone who knows the work still sits in the room. We encode that into the twin. You keep hiring for the craft; AI executes where policy allows, and humans approve.
Retail, services, or professional practices—we start from the workflow your team already knows.
A digital twin of operations
How work actually runs.
We help you create a digital twin of your operations so AI and the office use the same process.
The twin is a living, executable copy of how work gets done in your firm. Staff and customers start work against it. Automations and agents execute on it. You can see whether it still matches reality.
It starts as one workflow that matters and expands. Accounting, POS, and payroll stay where they belong; the twin orchestrates operations around them.
The real firm
The twin
The real firm
How a client is taken on, a job is run, a claim is handled
The twin
Encoded processes that run in production—ready for staff, customers, and AI
The real firm
Who the parties are, what was agreed, which files sit on the job
The twin
Operational records and documents the office, portal, and AI share
The real firm
CRM, billing, email, POS, and accounting already in use
The twin
Connections that keep the twin coupled to those systems
The real firm
People deciding, exceptions, “ask before you send”
The twin
Roles, approvals, and AI that act where policy allows
Case example
A housekeeping platform with ten freelancer cleaners
A services startup in scope: a small team coordinates independent cleaners for homes and offices. One tenant carries customer touchpoints, back-office runs, and the field team.
Customer WebApp
Booking, feedback, and billing
A Tealfabric WebApp gives customers a booking calendar, a place to leave feedback after a visit, and billing in the same branded experience.
Process flows and agents
Registration through invoicing
Process flows and autonomic agents handle new customer registration, cleaner scheduling, material orders, and invoicing—on the same operational records the office and WebApps use.
Cleaner WebApp
Assignments and team updates
Each cleaner signs into their own WebApp to see assignments, submit feedback from the field, and read internal announcements from the platform operator.
What lives in the twin
Six capabilities in one tenant.
01
Data ownership and sovereignty
People, files, credentials, and operational records live in an isolated space that belongs to your company. You decide who can see what, where the data runs, and what AI may touch.
02
How work runs
Recurring steps live in a flow your team can see and run. When this arrives, do that—each rule clear, auditable, and easy to extend.
03
Operational records
A home for daily work: parties, jobs, agreements, files. Assistants and portals see the same truth as the office. POS and the ledger stay where they belong.
04
The tools you already use
Connect CRM, billing, email, and documents you already run. Those systems stay in place; the twin is where work across them actually happens.
05
AI under policy
Assistants and unattended helpers on the same objects, with a person in the loop when it matters. Playbooks your team can trust and review.
06
Operate with help
See what ran. Get help when the twin drifts. After go-live, your staff run the work; we stay available when it needs to grow or when something fails.
Your data stays yours as clouds and AI models change
Customer files, job records, and how work runs live in your twin, under your access rules, gathered in one place. That is data ownership in practice.
When a customer needs data in a particular country, or an AI vendor changes terms, the twin stays yours. Clouds and models sit underneath and can be changed; your workflows and records move with you.
We land the first slice with you
A forward-deployed engineer sits with your ops lead until the first production workflow is live.
The metric is time to the first production workflow the office actually uses. An engineer sits with owners and ops, maps the workflow that matters most, and leaves your staff able to see status and know when to call for help.
Discover
Pick one outcome: hours, errors, cycle time, or dropped handoffs. Name the workflow that matters most.
Land
A customer, client, or partner can start work and it becomes an internal run with a clear owner and history. Humans stay in the loop on sensitive AI actions.
Operate
Office staff run it day to day. We stay available for the next workflow and for incidents.
Grow
Next location, next service line, a more demanding buyer. The same tenant scales with you.
A typical first quarter
Weeks 1–2
A tenant exists, people can sign in, one system you already use is connected, and one record type—job, case, or client—has a home.
Weeks 2–4
A customer, client, or partner can start work and it becomes an internal run with status everyone can see.
Weeks 4–8
Staff can ask how that work runs and get an answer grounded in live objects. Sensitive AI actions wait for a person.
Weeks 8–12
A second system on the same path, failures visible as operations, then an optional bounded helper once the manual path is trusted.
See how the same runtime shows up for established teams in Solutions and Platform overview.
Tell us the workflow that matters most.
Share how the business works today—the hours you want back, the handoffs you want to keep—and we will tell you whether a first slice is in reach.