Answering was the easy part. Now it executes.
Deep integration into your backend, whole processes designed to run without a person in the middle, and your own team building it all in AI Studio.
Workers per workflow
One per stage
Approval gates
Where you place them
Built and versioned in
AI Studio
Data leaving your perimeter
None
Scope depends on how many systems sit behind the workflow. Discover sets the count.
01
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Deep Integration Engineering
SME AI workers are built at every stage of your backend workflows. Each one executes the tasks you have defined and approved for that stage, inside your own systems — and hands over to a person wherever an approval or an escalation is required.
A Master AI worker sits above them as orchestrator, router and supervisor. It classifies the contact, routes it to the right specialist, and holds the whole case together.
What gets engineered
—
One SME AI worker per workflow stage, scoped to that stage's tasks and no others
—
Connectors bound to your CRM, core systems and ticketing — verified before use
—
Approval and escalation gates written into the workflow, not left to the model
—
Every action verified, recorded and traceable after the fact
The end-to-end autonomous AI workforce
Master AI worker
Orchestrator · Router · Supervisor
SME AI
Billing
Balance, payments, recharge, usage, dues and the tasks around them
SME AI
Provisioning
Service activation, configuration management, issue resolution
SME AI
Technical support
Identify the issue, find root cause, apply the fix, confirm it held
SME AI
Disputes & grievances
Disputes and grievances handled to your own SOPs and knowledge base
Human agents
Approvals · regulatory holds · edge cases · high emotion · supervisor escalation
How it works in practice
01
Contact arrives on any channel
02
Master AI classifies intent
03
Routes to the right SME AI
04
SME executes end to end — lookup, action, confirm
05
Hands to a human on approval or exception
Deep integration into your backend systems
Industry integration packs wire your AI workers into the systems you already run — so an AIWRKR doesn't just answer questions, it executes your business processes.
Insurance
Banking
Telecom
Healthcare
Retail
Travel
BPO
STEP 1
Connect
Bind the pack's operations to your CRM, core systems and ticketing — verified before use
STEP 2
Execute
AI workers run your workflows end-to-end, autonomously at every stage
STEP 3
Approve
Human approval gates sit exactly where you place them — nothing high-impact moves without sign-off
STEP 4
Audit
Every action is verified, recorded and traceable after the fact
A pack is a working set of connectors, operations and flows for one industry. Importing one clones it into your tenant as drafts, with lineage recorded — your changes never flow back into the pack, and a pack update is offered as a diff rather than applied.
Banking and financial services
banking-v1 · v1.0.0
Card disputes, balances and statements for a retail bank. Imports in simulated mode with no customer systems bound.
BPO and outsourced contact centres
bpo-v1 · v1.0.0
Collections callbacks, dispositions and campaign state for an operator running many end clients.
Healthcare
healthcare-v1 · v1.0.0
Appointments, report status and billing estimates for a hospital group. No clinical advice.
Insurance
insurance-v1 · v1.0.0
Renewal, claim status and policy servicing for a life insurer.
Every operation carries a gate class
Gate classes are a proposal. You ratify them against your own delegation matrix before anything runs live.
READ
Acts alone
Lookups and summaries. The worker runs these without asking. Account summary, balance, recent transactions.
WRITE
Needs authorisation
Changes a record. Prepared by the worker, released by a person. Raise a dispute, log an interaction.
DESTRUCTIVE
Never alone
Irreversible from the customer's side. Always a human authorisation. Block a card, cancel a policy.
02
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Autonomous Workflow Design
End-to-end processes run by AI workers. We design each workflow node by node with your operations team, decide at Define which actions run alone and which stop for a person, and prove the whole path in a flow session before it ever touches a live system.
Design deliverables
—
A node map per workflow — trigger, identification, lookups, actions, confirmation, hand-off
—
Gate classes agreed at Define and enforced at runtime, not by prompt
—
Error branches that hand to a person instead of retrying blindly
—
Flow sessions: watch a run node by node and see where each gate fired, without running it live
Outcome
The process runs end to end. A person is involved because you decided they should be, not because the AI ran out of road.
Lost card — block and confirm
never_alone
The worker prepares everything and a person authorises the block.
Where the workflow stops for a person — set at Define, enforced at runtime
| Stage |
AI worker does |
Human involvement |
| Identify |
Matches the caller against the customer record and verifies them |
None |
| Look up |
Reads account, policy or ticket state from your core systems |
None |
| Decide |
Applies your SOP to the case and prepares the action |
None |
| Act |
Executes reads alone; prepares writes and stops at the gate |
Authorises writes |
| Escalate |
Hands over live with the whole case attached via AIHO™ |
Takes the case |
| Close |
Writes the interaction summary back to the record |
Reviews on sample or on exception |
03
Go further
AI Studio Enablement
Brand voice, packs, golden test sets. Everything we build in Develop is built in the Studio, in front of your team — so the people who own the floor own the workforce running on it.
Voices, models, knowledge, workflows and integrations are created here, versioned here, and promoted only when the evidence says they are ready.
Enablement covers
—
Brand voice: recorded from your own people, consent captured, owned by contract
—
Packs: import, tune, version and promote your industry pack without us
—
Golden test sets: written from your own call history, scored in Assurance
—
Gate classes and the promotion path from draft to live, in your team's hands
AI Studio
Build the workforce inside your own perimeter
Voices, models, knowledge, workflows and integrations — created here, versioned here, and promoted only when the evidence says they are ready.
Start here
Industry packs
Replicate a working set of connectors, operations and flows into this tenant as drafts. The fastest way to see the whole pipeline do something.
Flow sessions
Watch a run node by node, see where each gate fired, and check what would happen in any run mode — without running it.
Also in the Studio
Brand voice
Record a real person, attach the consent that permits it, and build a voice your company owns. Nothing leaves your perimeter.
Assurance
Score voices, flows and models against your own test sets, and promote only what passes the gates.
Import into this tenant
Imports as drafts with simulated bindings only. Nothing is promoted and nothing calls a live system.
Your brand's voice. Actually yours.
Cloud AI voices are rented — the same synthetic persona, shared by everyone, billed per character. AI Studio lets you create a voice your company owns, three ways:
Every voice is built from a real person's recording, with documented consent — and it speaks for your brand in 23 languages, without ever leaving your infrastructure.
Record your own people
01
That warm, trusted voice on your service floor becomes the voice of your brand — recorded in the Studio, with consent captured and stored alongside the voice itself.
Bring a professional artist
02
Commission a studio recording from a voice artist. The recording, the rights and the resulting voice are yours by contract — forever.
The AIWRKR team produces your brand voice end-to-end — sourcing, recording, building and tuning — and hands you the finished, owned asset.
None of this is step one.
Everything on this page follows the same 5D approach, and starts after one queue is live and measured.
Bring a workflow
Pick one process. We will design it node by node.
Bring the workflow that costs you the most handling time. You will see the flow, the gates and the systems it touches before anything is built.
01
Map the workflow stage by stage with your team
02
Agree the gate class on every operation
03
Build the connectors against your own environment
04
Prove it in a flow session before it runs live