Strategic AI readiness Security · Grounding · Verifiability
Enterprise · Purpose-built AI

We do not prepare AI to work with documents.
We prepare the organization to work with AI

Purpose-built AI for high-stakes decisions - from experimental prototypes to secure production deployment.

Security

On-premise or client VPC

Accuracy

Answers only from documents

Verifiability

Link to page and paragraph

Cost

Up to 10× cheaper than generic LLMs

Governance

Full audit trail

01 The Problem · The PoC loop crisis

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.

  1. Infrastructure

    Inference on-premise or in the client VPC. Zero external retention.

  2. Grounding

    Answers only from the verified company corpus - otherwise no answer.

  3. Traceability

    Every claim linked to its document, page number and paragraph.

  4. Protection

    Prompt-injection defense, automatic PII redaction, input and output filters.

  5. 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 Model weights - general memory, prone to distortion A closed corpus of company documents (Enterprise Knowledge Layer)
Verifiability Estimation and probability - no hard evidence Full traceability: link to document, page and paragraph
Security Public cloud - risk of exposing sensitive data On-premise or VPC - full data sovereignty and isolation
Audit readiness None - high regulatory and legal risk 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)

Polish Railway Authority (PKP-PLK) logo

100% source verifiability enabled immediate production deployment in a rigorously regulated environment, with proactive contract risk identification across tender, contract and project documentation.

Investment management

Ethic Asset Management

Ethic Asset Management logo

Fragmented, black-box vendor datasets replaced with audit-ready, fully traceable outputs - fewer vendors, lower complexity, higher decision confidence.

Pharmaceutical sector

Pharmaceutical manufacturer, global scale

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.

Scope a pilot
08 Get started

Identify your highest impact use case.

Deploy in weeks. Expand across your organization.