01
Hallucinated math
Plausible-looking totals that never touched your source data.
Reliable AI systems / 01
AI automation that doesn't hallucinate.
We build reliable, deterministic automation for businesses where a wrong answer costs a customer.
Book an automation audit AUDIT → ARCHITECT → EVALUATE → SHIP
The failure mode / 02
Most AI chatbots break under real business load.
02
Non-deterministic answers
The same question takes a different path every time.
03
Jargon leaking to customers
Internal field names and backend failures become customer copy.
Capabilities / 03
What we build.
01
Dealer & Customer WhatsApp Automation
Resolve routine queries without sacrificing control.
02
n8n Workflow Architecture
Production workflows that survive edge cases.
03
AI Reliability Audits
Find failure modes before your customers do.
04
Catalogue / Document RAG Search
Accurate answers grounded in approved source material.
05
Ongoing Workflow Support
Monitoring, evaluation, and steady improvement.
Selected system / 04
Built for real dealer networks.
ANONYMIZED CASE STUDYA European premium equipment manufacturer supporting 186 dealers across 14 regional WhatsApp groups.
Problem
A six-person support team handled roughly 11,400 monthly messages about stock, pricing, and order status across fragmented threads.
Approach
Deterministic routing replaced flexible agent loops. Language generation was separated from live ERP lookups and price calculations.
Result
After an eight-week controlled rollout, routine workload fell 27% and median first-response time dropped from 18 minutes to 52 seconds.
27%reduction in routine workload
32failure-mode tests before shipping
52 secmedian first-response time
Delivery system / 05
From ambiguity to evidence.
01
Discovery
Map the real workflow, constraints, and failure cost.
02
Architecture Design
Separate probabilistic language from deterministic logic.
03
Build
Connect systems with observable, maintainable workflows.
04
Evaluation & Testing
Pressure-test against a purpose-built eval suite.
05
Deploy & Iterate
Roll out carefully, monitor, and improve from evidence.
Operating principles / 06
Built on principles, not hype.
LLMs handle language. Code handles data and math. Agent loops trade determinism for flexibility—for anything correctness-critical, we use deterministic routing instead.
Language input
n8n
Code
CRM / API
Verified customer answer
About / 07
An independent automation consultancy focused on the diagnosis, architecture, and judgment work that reliable AI systems still require.
FAQ / 08
How is this different from a Zapier / ChatGPT plugin setup?+
We design around business rules, data integrity, observability, and known failure modes. The LLM is one controlled component—not the system architect.
Do you work with existing CRMs?+
Yes. We integrate with established CRMs, ERPs, GraphQL APIs, catalogues, and internal databases rather than asking you to replace them.
What if our AI chatbot is already live but unreliable?+
We can audit the current system, reproduce failure cases, build an evaluation suite, and redesign only the parts that create unacceptable risk.
How do you measure reliability?+
We define success and failure upfront, then test realistic query sets before launch and monitor production outcomes after deployment.
Stop shipping AI that guesses.
Tell us what you want to automate and where the current process breaks down.