Built to be reviewed
Written for information-security, risk and compliance reviewers: where data, models and credentials live, how agents are controlled, who approves what — and what we do not claim.
- Environment
Work runs inside the environment your organisation has approved.
- Model training
Client data is not used to train public models without authorisation.
- Oversight
Consequential steps wait for a named, accountable approver.
- Traceability
Every material state change leaves an auditable record.
Three rules we design by
They come from the firm's delivery standard, and they apply before any model or platform is chosen.
- 01
Security is architecture, not a disclaimer
Where data, model calls, logs, credentials and artefacts live is designed explicitly and written down before anything is built.
- 02
Human accountability is a system property
An approval button at the end is not oversight. The workflow defines who reviews what, what evidence they see, when the system must stop and which fallback applies.
- 03
Separate evidence from inference
Important claims carry a source, a date, a scope and a confidence level. Missing evidence stays visible as an open question.
Where everything lives
Each engagement records where data, model calls, logs, credentials and artefacts will live, and who can reach them. The client approves that record before production.
Illustrative diagram. The real boundary is defined per engagement and approved by the client.
- Data
- Sensitive sources stay read-only wherever possible. Access is minimised to what the workflow needs and scoped by role.
- Model calls
- Models are reached through endpoints your organisation has approved. Client data is not used to train public models without authorisation.
- Logs
- Every consequential step leaves a record. Where logs are kept, who can read them and how long they are retained is defined with the client.
- Credentials
- Secrets are never embedded in repositories. They are held in the approved environment's secret store, and environments are kept separate.
- Artefacts
- Generated outputs are stored apart from source records and versioned, so an original is never silently overwritten and work stays recoverable.
Your environment. No shadow IT.
We build where your organisation has already approved work to happen, and we start from the estate you own. Any new component is justified before it is introduced.
Sanctioned tools, trained teams
We define protocols that keep sensitive information out of public tools, and we train teams to work inside the sanctioned ones.
Google Workspace
Fits when teams already work in Sheets, Docs, Drive and Gmail and a bounded workflow can be owned there.
Microsoft 365, Copilot, Azure OpenAI
Often the better fit in a Microsoft-centric regulated environment with enterprise identity.
Custom applications
Justified when a workflow needs durable state, specialised review screens, integration, policy enforcement or scale.
Private or hybrid infrastructure
On-premise, private-cloud or hybrid deployment when data residency, model control, latency or security requirements demand it.
Platform names describe environments we can work in. They are not vendor certifications or partnership claims.
A controlled workflow, not an oracle
An agent reads approved information, drafts or recommends, cites its evidence and sends exceptions to a responsible person. Every step leaves a record.
Illustrative interface with invented data. Not a client system.
Least privilege
Agents receive role-scoped access to the minimum a workflow needs. Sensitive sources stay read-only wherever possible.
Explicit rules stay explicit
Calculations, thresholds, identifiers, state transitions and access rules remain deterministic and testable. Models interpret; they do not hold authority.
Human approval gates
Automated findings support review; they never silently authorise action. Consequential steps wait for a named approver.
Audit trail
Each material state change records the actor, time, input, rule or model version, result, exception and approval.
Source-linked outputs
Answers and extracted fields link back to the source, version, page, field or record that supports them.
Evaluation and fallback
Generative components are tested on representative examples against explicit failure criteria, with a defined fallback if a model or connector is unavailable.
Every approval step defines
- Who reviews what
- Which evidence is shown
- How disagreement is recorded
- When the system must stop
- Which fallback applies
Assistive, internal, bounded
A first system supports people rather than deciding for them. Autonomy expands only once accuracy, controls, ownership, monitoring and a safe fallback have been demonstrated.
Where a first system starts
- Reads approved information only
- Produces a draft or a recommendation
- Cites the evidence behind each output
- Routes exceptions to a responsible person
Where we do not start
- Adverse decisions about customers or staff
- Moving money or writing to a core system
- Sensitive data sent to a public model
- Public assistants without sources or escalation
- Opaque segmentation on personal traits or proxies
What we do not claim
A reviewer should know where our statements end. These boundaries hold on this site and in any questionnaire we answer.
- 01
No certification claims
AI Workify does not currently hold an independent security certification or attestation, and shows no badges. We say so in any questionnaire.
- 02
Compliance is scoped
Any compliance statement is made against your own standards and the controls actually implemented and validated in that engagement.
- 03
Platforms are not partnerships
Naming a cloud or productivity platform describes where we can work. It is not a vendor certification or a partner status.
- 04
No promised outcomes
We do not promise security outcomes or savings. Before a build is quoted we state assumptions, exclusions and what is not yet known.
- 05
Illustrations are illustrations
Interface mock-ups on this site use invented data. They are not evidence of a client deployment.
How we handle your review
Procurement, security and legal teams can write to us directly. We follow your process and answer against the real scope of the engagement.
- 1
NDA and vendor onboarding
We work under your standard contract, confidentiality terms and procurement route. Even a first assessment is a contracted engagement.
- 2
Your questionnaire, in writing
Answers describe the controls that exist for the proposed scope. Where something is not in place, we say so.
- 3
The right people, early
With regulated clients, qualification involves technology, data, information security, risk, compliance, legal, audit and procurement.
- 4
A record you approve
Before production you approve the data path, environment, permissions, ownership, support model, continuity plan and security controls.
What the architecture record of an engagement covers
- Data classification
- Data residency
- Model & vendor selection
- Identity & role-based access
- Environment separation
- Encryption
- Secrets management
- Retention & deletion
- Logging & audit trail
- Incident handling
- Sub-processors
- Portability & exit
Check the work behind the controls
Our case studies include the governance that applied in each engagement.