AI-Enhanced Support

Leverage AI to accelerate development, improve documentation, and automate routine tasks

Overview

AI tools have fundamentally changed how technical work gets done. From code generation to documentation to automated analysis, AI can significantly improve productivity, when used strategically.

Tek42 helps organisations evaluate, implement, and optimise AI tools across development workflows and support operations. We focus on practical, ROI-positive applications that enhance your team’s capabilities.

The Opportunity and Challenge

What AI enables: Code assistance (30-50% faster development), automated documentation, code review automation, AI-generated tests, support chatbots, and instant codebase analysis.

What makes it hard: Tool proliferation, integration complexity, quality validation needs, security concerns, unclear ROI, and team adoption challenges.

Organisations that ignore AI fall behind. But rushing to adopt every tool wastes resources. Strategic AI adoption requires expertise, experimentation, and discipline.

Our Approach

AI Readiness Assessment: Inventory current tools, establish productivity baselines, document workflows, assess security requirements, and identify high-value opportunities. Deliverable: prioritised AI adoption roadmap.

Tool Selection & Pilot: Evaluate tools across capability, integration, security, cost, and adoption likelihood. Run 4-8 week pilots with 5-10 developers, measure results, and make go/no-go decisions.

Implementation & Integration: Incorporate tools into workflows, configure IDE integrations, establish quality gates, set up governance policies, and train teams on best practices.

Optimisation & Measurement: Track productivity metrics, code quality, time savings, and adoption rates. Continuously improve through A/B testing and sunset underperforming tools.

AI Use Cases We Support

Code Development: AI pair programming (GitHub Copilot, Cursor), automated code review, large-scale refactoring and migrations.

Documentation: Automated generation and maintenance, knowledge base creation, always up-to-date API docs.

Testing: AI-generated unit and integration tests, self-healing test maintenance, realistic test data generation.

Support & Operations: Developer support chatbots, log analysis and debugging, runbook automation.

Architecture & Analysis: Codebase understanding, architecture documentation, technical debt assessment.

Security & Governance

We address data privacy concerns by evaluating vendor policies, implementing code anonymization where needed, and using self-hosted models for sensitive work. All AI-generated code passes human review. We ensure compliance with SOC 2, GDPR, HIPAA, and financial regulations.

Who It’s For

• Development teams ready to accelerate with new tools
• Technical leaders evaluating AI investment priorities
• Organisations with pilot fatigue needing structured AI integration
• Regulated industries requiring secure, auditable AI usage

Engagement Models

AI Readiness Assessment (2-3 weeks): Current state assessment, tool recommendations, ROI projections, implementation roadmap.

AI Tool Pilot Program (8-12 weeks): Tool selection, pilot setup, training, metrics reporting, go/no-go recommendation.

AI Integration & Rollout (3-6 months): Full team rollout, workflow integration, training programs, governance setup.

Ongoing AI Optimisation: Monthly metrics review, tool optimisation, new capability evaluation, team enablement.

Results You Can Expect

Organisations typically see 30-50% faster development for routine tasks, 40-60% reduction in support tickets with AI chatbots, 80%+ test coverage with less manual writing, and 90% reduction in documentation maintenance effort. Most teams achieve 4x ROI within 6 months.

The question isn’t whether to adopt AI; it’s how to do it effectively, securely, and with measurable ROI.

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