Automate the workthat slows yourTeam down.
Intelligent document processing, workflow automation and decision-support systems that reduce manual overhead and surface the information your team needs faster.
- Textract / Comprehend
- AWSTextract / Comprehend
- Human-in-the-loop design
- Low-codeHuman-in-the-loop design
- Typical engagement
- 6-16wksTypical engagement
What this serviceactually covers.
Not all automation is created equal. Rule-based RPA breaks the moment a document format changes or a process evolves. AI-powered automation is different — it understands context, extracts meaning from unstructured data and makes decisions within defined parameters without brittle hard-coded rules. We build automation systems using AWS AI services (Textract, Comprehend, Step Functions) combined with custom ML models where needed. The result is automation that handles the edge cases, explains its decisions and hands off to humans gracefully when confidence is low.
What you get
with every engagement.
- AI system risk assessment (EU AI Act classification)
- Bias testing and fairness evaluation report
- Explainability implementation (SHAP, LIME, model cards)
- AI governance policy and framework documentation
- Regulatory compliance mapping (EU AI Act, GDPR Art. 22, FCA)
- Audit trail infrastructure for automated decisions
How we run this
Engagement.
1. AI Risk Audit
We assess your existing AI systems against the EU AI Act risk categories, GDPR requirements and your sector's regulatory expectations.
2. Policy & Framework Design
We design the AI governance policy, model card templates, risk register and review cadence that will govern how your organisation develops and deploys AI.
3. Technical Controls
We implement bias testing, explainability methods (SHAP, LIME, counterfactuals), data lineage and the audit trail infrastructure required for compliance.
4. Monitoring & Reporting
We set up ongoing model monitoring for fairness metrics, output quality and compliance indicators — with automated alerts and regular governance reporting.
What you'll walk away with.
Regulatory confidence
Clear evidence of compliance with the EU AI Act, GDPR and sector-specific AI governance expectations.
Explainable decisions
Every AI prediction documented with its reasoning — defensible to regulators, customers and courts.
Reduced reputational risk
Proactive bias detection and fairness monitoring before issues surface publicly or in complaints.
Governance embedded in delivery
Controls and reviews integrated into the AI development lifecycle — not a one-off audit that dates quickly.
Ready to talk about
responsible ai & governance?
Fixed-price projects or ongoing managed service retainers — no lock-in, no hidden fees. Talk to a cloud architect today.