Accountable Agent
Executes the task on the ontology. Every decision fully logged with its reasoning trace. It owns the output — never the sign-off.
The DGTAL Platform
An agentic AI platform for back-office operations, audit, HR and other operations processes. It orchestrates back office workflows on top of existing systems — fully auditable, compliant and with human-in-the-loop by design.
1.Architecture
A three-zone architecture: buy, configure, build. What is commoditised is bought, what is specific is configured, and what is decisive is owned — the agentic workflows built for the work itself.
- Agentic workflows
- Delivered as applications on top: DRILLER Audit, GRABBER, Agentic Claims, Agentic Payroll. Years of production work are encoded in them — prompt libraries, exception lists, the rules engine, and the resolution paths for the hard cases. This is what cannot be bought off the shelf, and it is where the value sits.
- The AI integrity layer
- The DGTAL layer that makes agents fit for regulated work: agent wiring and routing, structured memory, human-in-the-loop triggers, and governance built for the EU AI Act, DORA, GDPR and supervisory audit.
- Foundation
- Best-in-class components for orchestration, memory, language models, knowledge graph and vector storage. Model-independent by design and deliberately not reinvented: when the market improves, the platform improves.
2.Ontology & Knowledge Graph
An ontology is a map of the business: contracts, claims, policies, parties, events, tasks, invoices and actions, and how they relate to each other. DGTAL agents work on this map, so every fact they extract has a defined place and meaning. The ontology is the model. The knowledge graph is where cases build up against it. Each new case can be checked against those already resolved, and the platform becomes more accurate over time.
- Every extraction is validated against business rules before it moves to the next step.
- Every document is classified, linked to the ontology and versioned.
- Every answer comes with its evidence: the source passage, the document and the date.
3.Trust & Governance
Every DGTAL agent is independently checked under the Six-Eye Principle. One agent does the work. A second agent, on a different AI model, reviews it. A human makes the final decision. This is built into the platform as standard and designed around the EU AI Act (Article 14), DORA and the GDPR.
Compliance Agent
An independent AI auditor running on a different model from a different vendor — uncorrelated by construction, so the two cannot share the same blind spot. It audits every output against the regulatory ontology and issues a structured compliance report.
Human Auditor
Reviews the compliance agent's report, with the evidence and the reasoning already laid out. Defines which cases count as high-risk, runs sample audits, and makes the final decision on every high-stakes action. The human audits the auditor.
4.Data Integrity
DGTAL sits above your system of record, not in place of it. Agents turn the fragmented, unstructured data that key back office operations actually run on — contracts, agreements, reports, correspondence, spreadsheets — into structured facts, test them against your own rules, held in a client-specific knowledge graph that learns from your people, and pass only validated, human-approved output into the core system. Integrity means the right rules applied, the right amount, at every cycle, with the reasoning traceable. We don't replace your system of record. We add accuracy into a system.
5.Agentic Workflows
- Insurance Audit
- An AI-assisted workflow for insurance audits that replaces manual file reviews with a scalable, fully auditable process. Structured data and documents are ingested and analysed by specialised AI agents that extract key fields and apply audit rules to flag exceptions, while auditors review and validate results in a collaborative workspace. Productised as DRILLER Audit.
- Fraud, Waste & Abuse
- An AI-assisted workflow for detecting fraud, waste and abuse in insurance claims. Structured claim data and unstructured documents are ingested and processed by specialized agents that extract key fields, detect risk indicators and apply configurable rules to flag suspicious cases, while investigators review and validate results in a dedicated workspace.
- Claims Management
- An AI-assisted workflow for end-to-end claims management that ingests structured claim data and unstructured documents, normalises and analyses them with specialised agents, runs special rules & exceptions and processes and settles cleared claims. Claims that breach configurable rules or show risk indicators are routed to human handlers in a dedicated review workspace for manual assessment and resolution.
- HR & Payroll
- An AI-assisted workflow for HR and Payroll that automates intake, validation and processing of time tracking, payroll and benefits data. Specialised agents check inputs against rules, payroll regulations, contracts, collective agreements company initiatives, special cases etc automatically processing standard cases while routing uncleared exceptions and special cases to HR professionals for review and sign-off. Delivered in partnership with leading professional services firms.
- Custom Applications
- Built by our Forward Deployment Teams on the same three zones — your workflows, your rules, your mandate, permanently encoded.