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FlowLogic Automation

AI Integration Experts

Stop Prompting.

Start Operating With AI.

Custom workflows designed around how your service business actually operates. Self-hosted, fully documented, and connected to the tools your team already uses — no black boxes, no rented automations.

FlowLogic AI · Live Trace
grounded
User
"Draft a renewal reply for Ackerman Ltd. and cite last quote."
Retrieval
› crm.deals#4021 0.94
› quotes/Q-2214.pdf 0.91
› email/thread-8871 0.88
Assistant
Hi Sarah — renewing at £14,200 (2.4% uplift vs. Q-2214). Draft ready for review.
#Q-2214 #deal-4021 #thread-8871
gpt-4o · 1.2s · 892 tok ✓ human-review queued
AI Integration

Standalone Chatbots vs. True Systems Integration.

Common friction
  • Teams copy-pasting into ChatGPT with no data context
  • AI answers that can't cite where they came from
  • Bolt-on chatbots that don't touch your real systems
What we Build Instead
  • AI grounded on your own documents and databases
  • Fully traceable answers with source references
  • LLM steps embedded inside real operational workflows
Why It Matters

Why AI Integration Is Non-Negotiable Now

AI isn't a feature to bolt on — it's a layer that sits inside every workflow, reading your data, drafting your answers, and freeing your team to do work only humans can.

40%

reduction in manual document handling across ops

5×

faster internal knowledge lookups for support teams

70%

of routine written work drafted before human review

20h

average weekly time returned per knowledge worker

Our Approach

We Don't Just Send Prompts. We Build AI Infrastructure.

Every integration is designed as a system — grounded, monitored, and connected to the tools your team already uses.

Grounded on your data

Retrieval-augmented generation over your documents, CRM, and internal databases — answers your team can actually trust.

Model-agnostic

OpenAI, Anthropic, Mistral, or self-hosted open models — we pick the right engine for each workflow, not the loudest brand.

Fully observable

Every prompt, retrieval, and response is logged and reviewable. No black-box outputs slipping into your operations.

What We Build

Endless Possibilities With AI Integration

Six AI patterns we build again and again for UK service teams — always shaped to your specific operation, never a copy-paste template.

Retrieval-augmented Q&A

Ground LLMs on your internal docs, CRM, and knowledge base — with citations your team can verify.

Book a Call to Learn more

AI-assisted support

Draft replies, classify tickets, and surface the right knowledge — inside your existing helpdesk.

Book a Call to Learn more

Document intelligence

Parse contracts, invoices, and RFQs into structured data flowing straight into your systems.

Book a Call to Learn more

Sales & lead enrichment

Score, summarise, and enrich inbound leads before they hit a rep's inbox.

Book a Call to Learn more

Operational drafting

AI-drafted reports, briefs, and status updates — reviewed by humans, not written from scratch.

Book a Call to Learn more

Custom AI workflows

Bespoke LLM pipelines wired into n8n — classification, extraction, and drafting inside real operations.

Book a Call to Learn more
The AI Stack We Deploy

Five Layers. One Coherent System.

AI integration isn't a single tool — it's a stack. Here's what we install, layer by layer, from your data all the way to the surface your team works in.

L5

Application Layer

Where your team actually meets AI — inside Slack, your helpdesk, your CRM. No new tab to open.

Slack HubSpot Zendesk Notion
L4

Guardrails & Evaluation

PII redaction, refusal handling, and a regression eval suite that runs on every prompt change.

PII Redact Eval Harness Output Schemas
L3

LLM Gateway

Model-agnostic routing with cost caps, fallbacks, and per-workflow model selection.

GPT-4o Claude 3.5 Mistral Llama 3
L2

Retrieval Layer

Hybrid semantic + keyword retrieval, reranked and citation-tracked back to the source.

Hybrid Search Rerank Citations
L1

Your Data Layer

Vector store on infrastructure you control, indexed from your docs, CRM, and databases.

Vector Store CRM Sync Doc Ingest
21d
avg. build cycle
30+
AI systems shipped
99.1%
answer traceability
24/7
monitored inference
Proof Of Results

AI Systems

We've Built

Real integrations, real results. A snapshot of the AI infrastructure we’ve shipped for UK service operators.

SYSTEMS CONSULTANT & AUTOMATION ARCHITECT

AI Voice Intake & CRM Automation System

5×

parsing of structured lead data

A professional services consultancy relied on an AI voice agent to handle inbound discovery calls, but had no reliable way to capture outcomes, sync booking status, or keep a single source of truth for leads across calls and follow-ups.

The Challenge
✕
Post-call outcomes (booking status, lead details, summary) were not captured in any structured, reliable format
✕
No duplicate-checking meant repeat callers created cluttered, disconnected CRM records
✕
Field mapping gaps between the call platform and CRM caused booking status to silently fail to sync
The Solution
✓
Automated post-call webhook captures transcript summary, contact details, and booking outcome the moment a call ends
✓
AI-assisted parsing extracts structured lead data and reliably distinguishes new leads from returning ones
✓
Existing-record lookup ensures updates land on the correct CRM entry instead of creating duplicates
SYSTEMS CONSULTANT & AUTOMATION ARCHITECT

WhatsApp Conversational Lead Qualification System

99%

Reduction In Manual Handling

A B2B services business wanted to offer WhatsApp as a contact channel without sending visitors off-site to a thirdparty app, and needed replies handled by an AI agent grounded in the business’s own knowledge base rather than generic scripted responses.

The Challenge
✕
Linking out to WhatsApp caused visitors to abandon the site before making contact
✕
Business-initiated WhatsApp messages require Meta-approved templates, an easy-to-miss compliance step
✕
Inbound replies had no connection to a knowledge base, session memory, or CRM
The Solution
✓
Website form submissions trigger an approved WhatsApp template message, keeping outreach compliant without leaving the site
✓
An AI consultant agent, grounded in a live knowledge base and persistent conversation memory, handles all replies
✓
Every conversation and lead outcome logs automatically to a shared CRM alongside voice and SMS leads
Infrastructure

Your Data. Your Models.
Your AI Layer.

We deploy AI on infrastructure you control — vector stores, retrieval pipelines, and LLM gateways scoped to your business. Your data never becomes someone else's training set.

  • Self-hosted vector stores and retrieval
  • Provider-agnostic LLM gateway
  • Environment-scoped credentials and secrets
  • Full audit trail on every inference
Book an AI Audit
Model Router
routing live
gpt-4o
OpenAI · Drafting · Reasoning
active
claude-3.5-sonnet
Anthropic · Long-context analysis
active
mistral-large
Mistral · Classification
active
llama-3-70b · self-hosted
Meta · PII-scoped tasks
active
rerank-v3
Cohere · Retrieval reranking
active
Fallback chain enabled Cost cap · £0.008/req
Deep Expertise

Engineering-grade AI, not prompt-glued demos

The technical depth behind every integration — the reason our AI systems outlast the model that powered version one.

Applied AI Expertise

Dozens of production LLM systems shipped — we know the retrieval patterns, the prompt failure modes, and the eval loops before they surface in your ops.

RAG Patterns Prompt Design Eval Harnesses

Systems Engineering

Every AI pipeline is designed as part of a larger system — version-controlled, environment-scoped, and reviewed like real engineering artefacts.

Git-backed CI/CD Environments

Secure by Default

Credentials vaulted, PII scoped, and every inference auditable. Your AI layer meets the compliance bar your business already operates against.

Vaulted Secrets PII Redaction Audit Trail

Model-Agnostic Design

Model choice is an implementation detail — we abstract it so you can swap engines as the frontier shifts, without rewriting your workflows.

Provider Swap Fallback Routing Cost Control
Under The Hood

The

Technical Edge

The engineering choices that make our AI integrations outlast the model that powered the first release.

Grounded retrieval

Hybrid semantic + keyword retrieval tuned per use case — not a naive top-k vector lookup.

Guardrails baked in

PII redaction, output validation, and refusal handling as first-class parts of every pipeline.

Version-controlled

Prompts, chains, and eval sets live in git — reviewed, diffed, and deployed like the rest of your stack.

Evaluation harness

Every pipeline ships with a regression eval set so upgrades don't silently break your operations.

Let's Talk

Ready to Add a Brain to Your Business?

Book an AI Audit and we’ll map your current stack, surface the highest-leverage AI workflows, and show you what a grounded integration can unlock.

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