Find the responsibility
We examine the work, information, decisions, delays, hand-offs, and evidence to identify a responsibility worth giving to a digital worker.
What We Build
We turn business intelligence into a working digital role.
OSTEC identifies an important responsibility, creates the Operator that can own it, and uses AgentFlow to connect the models, people, channels, systems, controls, and evidence needed to run it in the real business.
Start with the role, not the technology.
Who owns the work today? What do they know? What can they do? Where must a person remain accountable? What proves completion?
Implementation Method
How a business responsibility becomes a governed worker.
The same five stages apply across sectors. The content, controls, integrations, and authority are specific to each role.
Define the Operator
We shape the role, teachings, memory, routines, permissions, limits, open work, escalation points, and measures of a correct outcome.
Connect the business
We connect the approved models, email, voice, team channels, data, documents, software, and operational systems the worker needs.
Map the process
AgentFlow turns the operating model into events, tasks, decisions, parallel work, time-based routines, human approvals, and exception routes.
Deploy and prove
The worker starts with bounded authority, runs against real work, verifies target-system outcomes, and earns broader responsibility through evidence.
Implementation Paths
Enter through the problem your business already has.
Not every engagement begins with “build an Operator”. It may begin with broken data, a painful process, sector research, a security concern, a product need, or an AI strategy that has not reached operation. Each path can lead into the same worker model.
01Digital worker implementation
Turn a recurring business responsibility into an Operator.
For work that depends on memory, judgement, several systems, repeated follow-through, and a mixture of automatic and human decisions.
What this can include
- Customer onboarding and case ownership
- Compliance investigation and reporting
- Invoice, supplier, and finance operations
- Research, monitoring, and recurring review
- Email, voice, and team-channel operations
Delivered outcome
A deployed Operator with a defined role, memory, schedule, permissions, connected tools, escalation path, and evidence contract.
02Data and memory foundation
Give the worker a trusted view of the business.
A worker cannot make reliable decisions when customer, finance, operational, public, and document records disagree. We master the data and design what the role should remember.
What this can include
- Source-system and ownership mapping
- Master data model and identity resolution
- Data quality and reconciliation workflows
- Role-specific knowledge and memory design
- Evidence links back to source records
Delivered outcome
A governed information foundation that supports both human business intelligence and persistent digital-worker context.
03Sector intelligence and teaching
Teach the Operator the world in which it works.
We consume the sector literature, regulations, standards, products, competitor material, operating language, and existing business knowledge needed to make the role credible.
What this can include
- Industry and regulatory landscape
- Operating doctrine and decision playbooks
- Product and market opportunity mapping
- Buyer, customer, and counterparty context
- Cited research and knowledge libraries
Delivered outcome
A sector-grounded worker that reasons from the business's domain rather than from generic internet knowledge alone.
04Security, control, and evidence
Design authority before granting action.
We define what the worker can read, change, approve, escalate, or never touch, then place checks around prompts, tool calls, outputs, sessions, and target systems.
What this can include
- Tool and data access boundaries
- Human approval and quarantine gates
- Sensitive-data and prompt protections
- Session evidence and outcome verification
- Codebase and architecture security review
Delivered outcome
A worker that can be useful without being casually overpowered, with a reviewable trail for important actions.
05Product and system delivery
Build the software and connectors the role needs.
When the target system lacks an interface, the process needs a new application, or the business idea itself is the product, OSTEC designs and delivers the required software.
What this can include
- Production application and service architecture
- MCP connectors around existing systems
- APIs, data stores, and event integration
- Testing, security, and deployment automation
- Operator-facing and human-review interfaces
Delivered outcome
Working production software integrated into the Operator and AgentFlow operating model, not an isolated proof of concept.
06AI sovereignty and operating model
Give the organisation control over its AI workforce.
We design the model, deployment, data, process, governance, and ownership choices so the organisation can use powerful AI without making one vendor the owner of its workers.
What this can include
- Claude, Codex, open-source, and private model strategy
- Model routing by task, cost, sensitivity, and capability
- Private and self-controlled deployment options
- Business process and event orchestration
- Team adoption and operating responsibility
Delivered outcome
A practical route from AI experimentation to a controlled digital-workforce capability the business can keep and evolve.
Sector Implementation
One platform. Different operating doctrine.
The reusable platform provides memory, orchestration, model choice, events, approvals, and evidence. OSTEC then shapes the worker around what responsibility means in that sector.
Investigation Operator
Case evidence, financial-crime policy, maker-checker controls, and human disposition.
Operations Intelligence Operator
Meter, customer, finance, public, and trading data with reconciliation and exception ownership.
Research Operator
Literature, provenance, regulated claims, and mandatory expert review before consequential use.
Engineering Operator
Model selection, isolated workspaces, code review, tests, security checks, and release approval.
Customer Operations Operator
Email and voice, customer context, payments, verification, supplier systems, and escalation.
Trading Operator
Market discovery, strategy doctrine, fixed budgets, independent risk and compliance, and order read-back.
Sovereign By Design
The worker should survive a change of model.
Operator separates the business role from the intelligence used for a task. AgentFlow can orchestrate Claude, Codex, open-source or private models under the same process, permissions, approvals, and evidence contract.
Stays with your businessRole · memory · process · rules · evidence
Chosen for the workClaude · Codex · open source · private model · human
Connected safelyEmail · voice · data · software · events · approvals
Choose The First Responsibility
Which piece of work deserves a worker of its own?
Tell us what is slow, fragmented, knowledge-heavy, or dependent on too much human follow-through. We will tell you honestly whether it fits the Operator model.
Plan Your Operator