AI Integration & Deployment
LLM-powered workflows and automation that ship to production - not pilot programmes. We design, build, and hand over production AI integrations that your team can operate and extend without a data science team.
Key Deliverables
- AI Opportunity Assessment
- LLM Integration Design
- Workflow Automation Build
- Knowledge Base & RAG Setup
- +2 more included
What We Actually Build
Every engagement produces working software. Here are the most common use cases we deliver for SMEs and agencies across the UK, UAE, and Pakistan.
Document Intelligence
PDF extraction, contract analysis, invoice processing, and structured data capture from unstructured documents - without manual keying.
RAG Knowledge Bases
Internal knowledge retrieval, policy Q&A, and customer support chatbots grounded in your actual documentation - not hallucinated answers.
Email & Communication Routing
Intelligent triage, sentiment analysis, and auto-drafting for high-volume inboxes. Route, categorise, and draft - at scale.
Workflow Automation
n8n and Zapier workflows enhanced with LLM steps for multi-stage data pipelines, approval flows, and cross-system orchestration.
Agentic Workflows
Multi-agent systems, tool-calling agents, and autonomous task runners that complete multi-step operations with minimal human intervention.
Custom LLM Fine-tuning
Domain-specific model fine-tuning for brand voice, technical vocabulary, and safety guardrails - where a prompted base model is not sufficient.
Technology Stack
We're model-agnostic and framework-agnostic. We select the right tool for your use case, compliance requirements, and existing infrastructure.
Models
Frameworks
Automation
Vector DBs
Infrastructure
Security
Engagement Process
Every engagement follows a structured methodology - documented before we start, so you always know exactly where things stand.
- 01
Discovery Call
We understand your existing processes and map automation opportunities against implementation complexity and business value.
- 02
Technical Scoping
Architecture design, model selection, security review, and a fixed-price scope document before any work begins.
- 03
Proof of Concept
A working prototype built against your representative data - validated against your acceptance criteria in 5–10 business days.
- 04
Production Build
Production-grade integration with error handling, rate limiting, cost monitoring, and observability built in from day one.
- 05
Team Handover
Runbooks, monitoring dashboards, prompt libraries, and hands-on training so your team owns and can extend the system.
Security & Compliance
Production AI deployments require production-grade security. We design data privacy and compliance controls in from the start - not as an afterthought.
Data never used for training
Contractual guarantee across all AI providers we deploy. Your data stays within your deployment boundary.
On-premise & private cloud options
Self-hosted open-source models (Llama, Mistral) or Azure OpenAI Service where data must stay within your tenant.
PII redaction before LLM calls
Automated detection and redaction of personally identifiable information before any data reaches an external model API.
GDPR Article 22 compliance
Human-in-the-loop checkpoints for automated decisions with significant impact - designed in, not bolted on.
UAE PDPA & Pakistan PDPA architectures
Data residency controls and localised processing options for clients operating under UAE or Pakistan data protection law.
Audit logging & abuse prevention
Full audit trail of all LLM inputs and outputs, with rate limiting and prompt injection detection built into every deployment.
Transparent, Fixed-Scope Pricing
No day-rate ambiguity. No retainer-before-you-see-anything. Fixed scope, fixed price - aligned to outcomes.
Starter POC
$5,500 USD equivalent
A single, scoped use case taken from idea to working prototype in two weeks.
- One defined automation use case
- Working prototype in 2 weeks
- Representative data testing
- Handover documentation
- One round of revisions
Production Build
$11,500–$22,000 USD equivalent
Full production deployment with monitoring, error handling, and team handover.
- Everything in Starter POC
- Production infrastructure setup
- Error handling & fallback logic
- Cost monitoring & alerting
- Observability dashboards
- 30-day post-launch support
Enterprise Retainer
From $3,000/mo USD equivalent
Ongoing AI engineering: model updates, new workflow builds, performance tuning, and cost optimisation.
- Dedicated AI engineering hours
- Model version management
- New workflow builds included
- Monthly performance review
- Priority incident response
- Access to all service lines
All prices are exclusive of VAT where applicable. USD conversions are indicative. We accept GBP, USD, AED, and PKR.
Frequently Asked Questions
Questions we hear before every AI engagement - answered directly.
Seen in Practice
AI automation is frequently deployed alongside cloud optimisation and infrastructure work. Here's a related engagement demonstrating our engineering approach.
Ready to automate your first workflow?
Book a free 30-minute discovery call. We'll map your automation opportunities, send a written scope within 24 hours, and have a working prototype in your hands within 2 weeks of sign-off.