AI-Powered Integrations
We combine AI, business rules and system integrations to automate more, without giving up control.
The biggest AI opportunities often sit between your systems, in the workflows connecting ERP, e-commerce, CRM, warehouse and finance.
We add intelligence where judgement creates value and keep fixed logic where accuracy and consistency are essential. Every AI-driven action is controlled, traceable and backed by clear rules and human oversight where needed.
Use AI where it adds value. Use fixed rules where results must always be correct.
Connect AI to your data, business rules and workflows, not just standalone prompts.
Start with one pilot and one clear metric. Prove the value before you invest more.
Clear logic, good documentation and a proper handover, so your team can manage it without us.
From moving data to moving decisions
Traditional integrations move data from one system to another. AI can add something different: the ability to understand context, make decisions within defined boundaries and act.
We build that intelligence into your existing integration landscape, using deterministic logic where correctness is non-negotiable, AI where judgement creates value, and human approval where the impact is too high to automate blindly.
Least agency by design
Least Agency means giving AI no more autonomy than the task actually requires. Predictable steps stay deterministic, while AI is used only where interpretation, context or judgement are genuinely needed. This reduces the number of decisions left to a model, making the workflow more predictable, easier to control and easier to govern.
Keep AI costs under control
Not every step needs an LLM. We use deterministic logic and standard integrations wherever they can handle the task reliably, and reserve AI for the steps where judgement adds value. This avoids unnecessary model calls and token usage, helping keep operating costs predictable as volumes grow.
Over-agentic approach
Order → Agent → customer lookup → Agent → VAT → Agent → pricing → Agent → validation → Agent → ERP
Least Agency approach
Order → AI extracts and interprets → deterministic rules + APIs → AI resolves ambiguity where needed → deterministic validation → ERP
Keep humans in control
Not every decision should be automated. For high-impact or irreversible actions, AI can analyse and recommend while a person remains responsible for approval.
Design for when AI is wrong
Confidence thresholds, validation rules and fallbacks are part of the architecture from day one. If confidence is too low, the process falls back to fixed logic or routes the case to a human.
Make every decision auditable
AI decisions are recorded together with their inputs, outcome and relevant decision context. You should be able to understand what happened without digging through an opaque black box.
Where intelligence between systems pays off
Orders arrive through email, PDF or Excel in different customer formats. AI extracts the order information and matches products, customers and commercial terms against your catalogue and agreements, while deterministic checks validate every field that affects money before creating the ERP order.
Integration errors are classified automatically. Routine failures can be resolved or retried automatically, while complex cases reach your team with the likely cause and relevant context already attached.
Incomplete records, suspicious prices, inconsistent inventory or other anomalies can be identified while information moves between systems instead of weeks later in reporting.
Duplicate invoices, unusual payment behaviour and other anomalies can be surfaced for review before they reach month-end processes or downstream systems.
Questions such as “Which orders failed yesterday and why?” can be answered from actual integration data without manually inspecting logs across multiple systems.
AI integration without the AI theatre
Platform features are not architecture
Celigo, NetSuite, Microsoft and other platforms increasingly provide AI capabilities. Those capabilities are useful building blocks, but they do not decide where AI should have authority, how exceptions should work or what happens when confidence is low. That design is the integration architecture.
Production matters more than the demo
Production AI inside business-critical integration flows is still a young field. We would rather prove one contained process in your landscape than show you a polished demonstration that proves very little about your operation. Our foundation comes from building ERP, finance, e-commerce and logistics integrations where monitoring, deterministic logic, error handling and operational ownership already matter.
From idea to production
We map your systems, processes and existing integrations and identify where AI could create measurable value — and where it explicitly should not be used. We define which steps should remain deterministic, where AI judgement is justified and where human approval is required. You receive a written recommendation, pilot scope, success metric, risk assessment, estimated operating cost and proposed technology route.
One process. One measurable outcome. The success criteria are agreed before development starts — including quality, operational impact and operating cost where relevant — so the pilot proves business value rather than technical possibility.
We add validation, confidence thresholds, fallbacks, error handling, audit logging and human approval where required.
The solution is tested against real scenarios, documented and handed over so your team can operate it independently.
You can manage the integration yourself or have us monitor and improve it as volumes, processes and models change.
The right tool for your landscape
Celigo
Our primary route for ERP-centred integration landscapes. We combine Celigo's integration and AI capabilities with the architecture, controls and monitoring required for production use.
n8n
Well suited to flexible AI workflows, internal automation, enrichment and pilots that need to evolve quickly.
Custom
Direct model and API integrations for requirements that need greater control, specialised architecture or specific hosting and compliance arrangements.
The architecture comes first. The Quickscan determines the technology — not our preference.
AI is not always the next step
If your core integrations are not reliable yet, we will fix those first. If a process needs to behave identically 100% of the time, we will recommend deterministic logic instead of AI.
And if nobody owns the business problem being solved, an AI pilot is unlikely to succeed regardless of the technology.
One pilot. One process. Real numbers.
An AI Integration Quickscan shows where intelligence can create measurable value in your existing landscape — and where reliable deterministic logic should remain in control.
You receive a defined pilot opportunity, success metric, architecture recommendation and implementation route.
No AI transformation programme. Start with one process worth proving.
