SoftWeb

AI-Augmented Development

Learn how to leverage AI effectively in your development process. Get proven AI-augmented practices for LLM integration and developer tooling, realistic guidance on when AI helps vs. hinders, and hands-on implementation support that fits your team's capability.

Where I've done this

How this works

Every technology leader is facing the same question: how do we use AI to accelerate delivery without introducing risk, reducing quality, or creating technical debt?

The narrative around AI in software development is polarised. Either AI will replace developers entirely or it's useless hype. The reality is more nuanced. AI can genuinely accelerate certain tasks (documentation generation, risk assessment, code analysis, research and investigation) while slowing others (complex architectural decisions, novel problem-solving).

I help organisations adopt AI-augmented development practices based on real-world experience, not vendor promises. You learn where AI accelerates your delivery, where it introduces risk, and how to implement practices that fit your team's capability and context.

What the engagement covers

AI adoption consulting engagements typically start with an assessment, then move to hands-on implementation:

AI Readiness Assessment

Evaluate your team's capability and codebase to identify high-impact opportunities for AI adoption.

AI-Augmented Development Workshop

Hands-on workshop demonstrating proven AI patterns in your actual codebase.

Implementation & Coaching

Ongoing support as your team adopts AI-augmented practices.

Documentation Automation

Implement AI-powered documentation generation for legacy codebases or complex systems.

Quality Oversight Framework

Establish practices to ensure AI-generated work meets your quality standards.

Why work with me

I help you integrate AI into your software and workflows where it genuinely adds value - LLM features, developer tooling, and productivity gains - not generic AI strategy or ML engineering.

I've built production systems using AI-augmented development and seen the results firsthand. A 3-month discovery process reduced to 1 week using AI-powered repository analysis. A production-ready risk assessment engine built in 3 days.

My approach to AI adoption is pragmatic and evidence-based. I demonstrate proven AI-augmented patterns in your actual codebase, not toy examples. I help your team develop the judgment to know when AI helps and when it hinders.

Questions I get asked before signing

AI adoption consulting helps you integrate AI-augmented development practices into your team's workflow safely and effectively. Includes workshops, guidance, quality assurance frameworks, and hands-on coaching.

I implement structured quality controls including human review gates, architectural oversight, test coverage requirements, and documentation of AI-assisted decisions.

Real client outcomes include compressing a 3-month discovery phase to 1 week (BPP/BuildCircle), building a risk assessment engine in 3 days (Evently), and reducing research work from months to hours.

Not necessarily. I take an incremental approach that integrates with your current practices. Initial adoption typically starts with documentation and research tasks, then expands.

Yes, with appropriate controls. I help establish compliance-aware practices that leverage AI for efficiency while maintaining audit trails, security standards, and regulatory requirements.

I work on a day rate of £800-1,000 per day, structured as scoped project engagements or ongoing retainer arrangements.