AI Troubleshooting Services
When AI Goes Wrong, Get It Back on Track.
Wrong answers, failing agents, sluggish responses or runaway API bills can turn promising AI into a business headache. The solution starts with finding what’s actually broken. From prompt logic and data retrieval to model behaviour, integrations and application code, every weak link gets investigated. Targeted fixes and performance tuning help restore accuracy, cut unnecessary costs and keep your AI systems running reliably as your business grows.
Works with OpenAI, Claude, Gemini and open source models · UK company, NDA as standard
Common AI Issues That Disrupt Performance
AI systems can encounter technical challenges that affect accuracy, speed, security and operating costs. Identifying the underlying cause is the first step towards a reliable solution.
AI chatbots delivering inaccurate responses
Incorrect answers, fabricated information and missed context can undermine user trust. Better retrieval methods, relevant source data and response validation help improve answer quality.
Rising LLM API expenses
High token usage and inefficient model selection can push AI operating costs beyond budget. Prompt optimisation, response caching and task-based model routing help control unnecessary spending.
Slow AI responses and failed requests
Long processing times and recurring timeouts can frustrate users. Streaming responses, performance profiling and efficient model configurations help reduce delays.
AI applications failing after updates
Changes to models, APIs or software libraries can introduce unexpected errors. Compatibility checks, regression testing and controlled updates help maintain application stability.
Unreliable AI agents and workflows
Automated tasks may become stuck, repeat actions or fail to complete individual steps. Better workflow orchestration, error handling and execution monitoring help keep processes on track.
AI security vulnerabilities and prompt injection
Malicious inputs may manipulate model behaviour or expose sensitive information. Input validation, permission controls and layered safeguards help reduce security risks.
How the AI Troubleshooting Process Works
A clear, structured approach to identifying AI issues, understanding the cause and choosing the right fix, with costs agreed before implementation begins.
- 01
Initial Consultation
Describe the challenges affecting your AI application. The first discussion establishes the symptoms, project requirements and access needed for investigation.
- 02
Technical Assessment
The AI setup is examined, including prompts, data pipelines, model selection, logs and usage costs, to pinpoint weaknesses and recommend practical improvements.
- 03
Targeted Fixes
Identified issues are addressed at their source, whether they involve retrieval quality, unreliable outputs, integration failures, security controls or deployment configuration.
- 04
Validation & Monitoring
The updated system is tested against key scenarios, with evaluation checks, logging and cost monitoring introduced to help detect recurring issues early.
Vibe coded app rescue for Lovable, Bolt, Replit and Emergent
AI app builders are brilliant for getting a prototype out fast. Then real users arrive and things start to crack. We take your vibe coded app, clean up the code, fix security and database issues, and get it ready for production.
- Code review and refactor into a maintainable structure
- Supabase and database security, auth and row level access
- Payments, emails and third party APIs wired up properly
- Move to your own hosting with backups and monitoring
AI troubleshooting pricing
Fixed prices, agreed upfront. No surprises.
AI Health Check
Custom quote
Full audit and written report with prioritised fixes.
Fix Sprint
Custom quote
Audit plus a focused sprint fixing the top issues.
AI Care Plan
Custom quote
Ongoing monitoring, model updates and support.
Models and tools we work with
Whatever your AI was built on, we can work with it.
- OpenAI GPT
- Claude
- Gemini
- Azure OpenAI
- Llama and open models
- n8n
- Supabase
- Pinecone and pgvector
- Lovable
- Replit
- Emergent
FAQ
AI troubleshooting FAQs
Looking for the right technology partner? Explore answers to common questions about our services, project delivery and ongoing support.
Why does my AI chatbot make things up?
Usually because it isn’t grounded in your real data, or the retrieval step pulls the wrong content. Fixing retrieval and adding clear instructions and guardrails solves most cases.
Can you fix an AI app built by another developer?
Yes. Most projects we troubleshoot were built elsewhere. We start with an audit so you know exactly what we’ll change.
How can I reduce my OpenAI or Claude API costs?
Shorter prompts, response caching, batching and sending simple tasks to smaller models. We measure first, then cut.
How long does an AI audit take?
Most audits take a few working days, depending on the size of your system.
Is my code and data safe with you?
We’re a UK registered company. We sign an NDA before access and follow GDPR throughout.