Service

AI Integration & Consulting

Add AI features to your existing product — RAG systems, chat interfaces, document processing and custom model deployment, built to production standards.

RAG and vector database setup
LLM integration across providers
Document processing pipelines
Chat and assistant interfaces
Evaluation suites and quality monitoring
Cost and latency optimization

Most AI features fail in production for predictable reasons: no evaluation, no cost control, no grounding in real data. We build AI capabilities that survive contact with real users — retrieval systems that cite sources, structured extraction that validates its output, and agents with guardrails. Every engagement includes an evaluation suite so you can tell whether the feature is getting better or worse over time.

What you'll get out of it

AI features grounded in your own data, with citations
Measurable output quality instead of vibes
Predictable cost per request
Architecture that survives a provider or model change

Who this is for

  • Products adding their first AI capability
  • Teams whose AI prototype works in demos but fails with real users
  • Companies with large document estates to make searchable
  • Businesses evaluating whether an AI feature is worth building at all

How it works

  1. 1

    Feasibility review

    An honest assessment of whether AI is the right solution and what accuracy is realistically achievable.

  2. 2

    Prototype & evaluate

    A working prototype with an evaluation set, so quality is measured before scaling.

  3. 3

    Production hardening

    Guardrails, caching, fallbacks, cost controls and monitoring added before launch.

  4. 4

    Handover

    Documentation, dashboards and a walkthrough so your team can operate and improve it.

What you receive

  • Deployed AI feature integrated into your product
  • Evaluation suite with baseline metrics
  • Cost and latency monitoring dashboard
  • Architecture documentation and handover

Turnaround

2–6 weeks depending on scope

Choose Your Plan

All packages include WhatsApp support and source code delivery.

Starter

$60
Timeline: 1 weekRevisions: 1
  • Core implementation
  • Source code
  • Email support
  • 1 revision
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Professional

$120
Timeline: 2 weeksRevisions: 2
  • Full implementation
  • Source code + documentation
  • Priority support
  • 2 revisions
  • Deployment included

Premium

$240
Timeline: 4 weeksRevisions: 5
  • Premium implementation
  • Full documentation
  • Same-day support
  • 5 revisions
  • Deployment + hosting setup
  • 30-day maintenance window

Frequently asked questions

Which AI provider do you build on?

Whichever fits your requirements, and usually with a fallback. We build provider-agnostic abstractions so a pricing or availability change does not force a rewrite.

How do you stop the AI from making things up?

Grounding responses in retrieved data, requiring citations, constraining output schemas, adding validation layers, and running evaluation suites that catch regressions. Hallucination cannot be eliminated but it can be measured and controlled.

What does it cost to run in production?

That depends on volume and model choice, and we model it explicitly during the prototype phase so you know cost per request before committing. Caching and model routing typically cut costs substantially.

Not sure which plan fits?

WhatsApp us for a free 15-minute consultation and we'll recommend the right package.

    AI Integration & Consulting | Fix My Stack