Monobrix
Intelligence04

Applied AI Solutions & Autonomous Business Agents

Practical, deterministic AI agents built to handle complex operational tasks.

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Senior-Only

No junior pass-through

Delivery

ISO 12207 Aligned

Ownership

Full IP Transfer

Speed

2-6 Week Sprints

The Trap We Avoid

Why most implementations drift into disappointment.

Not demos — production agents for document extraction, internal knowledge search, and ticket triage. Structured outputs, hallucination guardrails, PII masking, and human-in-the-loop gates via Slack or Teams.

The Monobrix way

  • →Structured discovery before any configuration or code.
  • →Upgrade-safe customization — never hard forks.
  • →Rehearsed cutover with a tested rollback path.
  • →Full source, schemas, and credentials on delivery.

Every Phase, Accounted For

How we deliver Intelligence

1

Feasibility review on data quality and risk

2

Pilot agent with evaluation harness and citations

3

Human-in-the-loop controls for high-stakes steps

4

Production rollout with monitoring and cost budgets

What We Build

Use cases that ship to production

1

Invoice and contract IDP pipelines

2

RAG knowledge search over proprietary docs

3

Customer triage and ticket routing agents

4

Slack/Teams validation gates for low-confidence outputs

Real Numbers

Delivery results, not promises

Extraction accuracy

99.8%

With human review on low confidence.

Faster processing

80%

Document pipelines vs manual entry.

Guardrails

HITL

Humans stay in the loop where it matters.

Honest Fit

When this engagement makes sense

Strong fit

  • High-volume repetitive document or triage work
  • You have proprietary data agents can ground on
  • You need auditability, not black-box chatbots

Poor fit

  • You want a generic chatbot with no business process
  • Source data is chaotic with no cleanup appetite
  • Regulated workflows with zero human review allowed

Questions

Common questions about Intelligence

Will the AI hallucinate into our ERP?

+

We design for structured JSON, confidence thresholds, and human approval gates before anything writes to systems of record.

Which models do you use?

+

OpenAI, Anthropic Claude, and retrieval stacks like LangChain / LlamaIndex — chosen per latency, cost, and data-residency constraints.

Next Steps

Ready to scope your Intelligence?

No high-pressure sales talk. You will speak directly with our senior technical lead to review your current architecture, identify immediate automation opportunities, and evaluate technical feasibility.

Get an AI feasibility review