The risk is not only hallucination, but the inability to defend a decision.
A stalled PoC is above all a cost of foregone benefits. A model without full source verifiability will not pass a rigorous procurement and audit process.
Audit
The verifiability gap
Relying on the model’s general memory instead of a closed corpus of corporate facts leads to hallucination and inconsistency.
Control
The data exposure gap
Leakage of intellectual property and critical sensitive data beyond the company security perimeter through the use of public APIs.
Accountability
The accountability gap
Without an audit trail, the logic and the legal-commercial basis of past decisions cannot be reconstructed later.
02 The Solution · Enterprise Protection Stack
Evaluate the stack, not the model. Credibility depends on the integrity of the whole layer.
Every further layer of protection loses its value if the foundation beneath it leaks. The five layers are deployed together, inside your perimeter, and every answer they produce carries its own evidence.
01
Infrastructure
Inference on-premise or in the client VPC. Zero external retention.
02
Grounding
Answers only from the verified company corpus - otherwise no answer.
03
Traceability
Every claim linked to its document, page number and paragraph.
04
Protection
Prompt-injection defense, automatic PII redaction, input and output filters.
05
Governance
Full audit trail, access control, versioning of rules and models.
Outcome
Decision reproducibility for the regulator. Up to 10× lower cost than generic LLMs.
Regulatory · EU AI Act
Implementations in the European Union are delivered in strict compliance with the EU AI Act. Use-case classification, technical documentation, event logging, human oversight and transparency obligations are part of the delivery scope - not a later remediation project. The same audit trail that makes a decision defensible internally is what evidences conformity to the regulator.
03 Operational applications
One platform, many applications.
The same knowledge layer serves further processes - without rebuilding the infrastructure and without losing the audit trail.
Procurement · Capex
Tenders and EPC contracts
Bid analysis cut from weeks to hours, with immediate identification of contractual risk (FIDIC).
Strategy · Compliance
Regulatory monitoring
Continuous monitoring of changes in the EU Taxonomy, ESRS and legal acts, mapped onto internal procedures.
Customer service
Draft responses
Draft responses to complaints and inquiries based on fees and customer history, with human-in-the-loop.
Reporting
Statements and ESG
Synthesis of data for financial statements and ESG reports, with every figure verifiable.
04 Paradigm
Four criteria that decide whether AI is admitted to a process.
Comparison of generic AI and purpose-built Actaware AI across four admission criteria
Criterion
Generic AI
Purpose-built AI · Actaware
Source of knowledge
Generic AI Model weights - general memory, prone to distortion
Purpose-built AI · Actaware A closed corpus of company documents (Enterprise Knowledge Layer)
Verifiability
Generic AI Estimation and probability - no hard evidence
Purpose-built AI · Actaware Full traceability: link to document, page and paragraph
Security
Generic AI Public cloud - risk of exposing sensitive data
Purpose-built AI · Actaware On-premise or VPC - full data sovereignty and isolation
Audit readiness
Generic AI None - high regulatory and legal risk
Purpose-built AI · Actaware Full decision reproducibility and a trail for the regulator
05 Market evidence · Verified operational results
Production deployments in regulated environments.
B2G · Infrastructure management
Polish Railway Authority (PKP-PLK)
100% source verifiability enabled immediate production deployment in a rigorously regulated environment, with proactive contract risk identification across tender, contract and project documentation.
Efficient navigation of successive legal amendments, removing risk in current-use, finance and reimbursement.
Customer service and strategy
Fuel and energy group
Optimized handling of 10 million inquiries a year with full security retained in an on-premise architecture.
Less effort in tender analysis
80%
Complex documents
1.6M+
ROI, with AHT cut by 40–60%
10:1›
Lower cost than generic LLMs
10×
06 The leadership team
The people behind Actaware.
A global team of experts in AI, enterprise data, finance and data science - building the layer that lets regulated organizations put AI into production.
07 First step
One process with high financial impact. A pilot in 8–12 weeks, on-premise or in your VPC.
Secure validation of business value before committing to a full-scale investment.