Connect AI capabilities to your existing infrastructure - APIs, data pipelines, workflow automation. Built for scale and security.
Discuss Your IntegrationStandalone AI tools require constant context-switching. Your teams are copying data between systems, re-entering information, working around gaps in your stack. Integrated AI becomes part of your natural workflow - accessible where teams already work, feeding from the systems that own the data.
A clear five-step methodology. Every integration follows the same discipline - assessment, design, build, deploy, handover - with your team in the loop at each stage.
Current architecture, data flows, security constraints, performance requirements, and integration points prioritised. No assumptions - we map your actual environment.
Technical blueprint covering data flows, API design, authentication strategy, error handling, monitoring approach, and scalability constraints - all documented before coding begins.
API clients, data transformations, service wrappers, UI components where needed. Comprehensive testing including edge cases, load testing, and security assessment.
Staged rollout to pilot users, monitoring setup, alerting configuration, user acceptance testing, performance validation under realistic load. Full documentation for your team.
Technical handover to your IT team, administrator training, user training on the new workflows, ongoing support during stabilisation, and enhancement planning based on usage patterns.
Integration creates new data pathways. We implement defence-in-depth - multiple security layers so that if one fails, others remain. GDPR, HIPAA, industry-specific compliance - all addressed in architecture design, not bolted on afterwards.
OAuth 2.0, API keys, JWT tokens with appropriate scoping. Role-based permissions and principle of least privilege on every integration point.
TLS for data in transit. Encryption at rest where required. Tokenisation, masking, or anonymisation so AI systems never see actual sensitive data.
Comprehensive logging of every AI interaction and data access. GDPR, HIPAA, and sector-specific compliance requirements addressed by design.
Input validation to prevent injection attacks. Rate limiting to prevent abuse. Output validation before writing back to systems. Data sanitisation before sending to AI.
Email attachments automatically processed on arrival. SharePoint documents indexed with AI metadata. Contract systems enhanced with clause extraction. Expense reports with automatic receipt data extraction.
New form submissions trigger AI analysis and automatic routing. Support tickets categorised and prioritised by AI. Daily reports and summaries generated and emailed automatically.
Natural language queries of business data. Automated insight generation from dashboards. Anomaly detection and alerting. Natural language report generation.
AI assistants within Teams/Slack for common queries. Meeting transcription and summarisation. Email drafting assistance. Document summarisation in shared drives.
"Working with the products that Jamie and Sam have developed has been a game-changer for understanding how AI can be applied in legal practice."
Solicitor · BristolBook a free technical consultation. We'll assess your current architecture, discuss integration points, and outline what a realistic timeline and scope looks like.
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