Division 04 · AI Integration

Business AI
Integration

Document processing. Internal knowledge chat. Request triage. We embed AI into the workflows you already run — on your infrastructure, with real metrics, without betting the business on it.

See use cases

// What we do

Process Automation

Map your existing workflows and replace manual steps with AI agents — document processing, data extraction, routing, notifications.

LLM Integration

Connect large language models to your internal systems via API. We handle prompt engineering, context management, and response validation.

Custom Pipelines

From CRM enrichment to automated reporting — we build end-to-end pipelines that run on your infrastructure, not ours.

Training & Support

We don't just ship and disappear. Your team gets documentation, training, and ongoing support as your processes evolve.

// What we automate

Use cases

We don't invent workflows — we take something you already do manually and replace the grind with reliable AI. Here's what we ship most often.

📄

Document intake & extraction

Invoices, contracts, forms — parse, validate, and route into your ERP or CRM. Handles multiple languages and messy scans.

Incoming request classification

Triage support tickets, leads, or emails into the right queue or owner, with confidence scores and fallback rules.

Internal knowledge chat

A private chat over your docs, wikis, and SOPs. Grounded answers with citations — no hallucination on critical answers.

Data enrichment

Enrich CRM records, product catalogs, or lead lists from unstructured sources. Scheduled, auditable, versioned.

Report generation

Turn raw tables and logs into weekly narrative reports for stakeholders. Same template, fresh numbers, every Monday.

QA & compliance checks

Automated review of calls, chats, or documents against a checklist. Flags exceptions for human review instead of all-hands QA.

// Process

How we work

A predictable path from first call to production — no surprises, no agency overhead.

01
~1 week

Process audit

We sit with your team, map the process end-to-end, and identify the 2–3 steps where AI has the highest ROI.

02
1–2 weeks

Prototype

A working proof of concept on your real data. No slideware — by day 10 you see the system run on a sample.

03
2–3 weeks

Integration

Connect to your CRM / ERP / document store. Error handling, logging, and access control from day one.

04
ongoing

Rollout + support

Phased rollout with human-in-the-loop. Your team gets runbooks; we stay on call for the first 30 days.

// Where it runs

Deployment models

You choose how much of your data ever leaves your network. We support all three and help you pick based on your compliance and latency needs.

On-premise

Models and data stay in your network. Ideal for regulated industries or sensitive data. We deploy to your hardware or to our Server Parks division.

Best for
Finance · Legal · Healthcare

Hybrid

Sensitive steps run on-prem, public LLMs handle the rest via API. Orchestration and routing enforce what leaves your network.

Best for
Mid-market · Enterprise

Managed cloud

We host and operate the entire stack on our infrastructure. Fastest path to production, no ops overhead on your side.

Best for
SMB · Startups · MVPs
// Tooling

Models, orchestration, infrastructure.

OpenAIAnthropicLlamaQwenLangChainLlamaIndexPineconepgvectorFastAPIDockerKubernetesn8n
≤4w
typical integration time
70%
avg manual-step reduction
<2s
median response latency
// Case studies

Selected work

Royal Group

Hospitality · Back-office

Supplier invoice processing on-premise

Automated parsing of supplier invoices across multiple languages, validation against purchase orders, and routing into SAP. Humans now review exceptions only.

Multilang
document AI
SAP
system of record
On-prem
deployment
Document AISAPOn-prem

NET RAY

Telecom · Customer support

Internal docs assistant for the engineering team

Grounded chat over the team's technical documentation with citations and role-based access. Reduced the volume of "where is X?" Slack pings sent to senior engineers.

RAG
grounded answers
pgvector
embeddings store
SSO
role-based access
RAGpgvectorSSO
// Pricing

Engagement models

Start small to de-risk. Scale when the pilot proves out. Every engagement includes a written success criteria and measurable KPIs.

Pilot

A focused proof of concept on one workflow. Validates feasibility before committing to integration.

from $4.5kfixed
  • 1 process, real data
  • Working prototype in 2 weeks
  • Success criteria defined upfront
  • Credits roll into Integration if you proceed
Most common

Integration

Production-grade AI embedded into your existing systems. Hosted where you need it.

from $18kfixed + milestones
  • Full pipeline end-to-end
  • Your CRM / ERP / datastore
  • On-prem, hybrid, or managed cloud
  • Logging, error handling, access control
  • Runbooks + 30-day hypercare

Partnership

Ongoing AI engineering for teams building multiple processes. Dedicated engineer, monthly throughput.

from $6k/moretainer
  • Dedicated AI engineer
  • Monthly roadmap of integrations
  • Prompt and model updates
  • Priority response SLAs
  • Quarterly strategy review
// Companies we've worked with
ROYAL GROUP
Active Yoga
NET RAY

Ready to automate your workflows?

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