For high-throughput back office operations

Deploy supervised AI agent pipelines built in Rust with strict hardware governance

We design and deploy autonomous agent pipelines that process complex documents, sync enterprise systems, and recover from errors reliably.

Discuss an agent deployment All engineering services

Token Savings

Rust orchestration avoids heavy Python overhead and unnecessary context bloat.

100%

Supervised DAG

Automated recovery trees prevent agents from getting stuck in infinite loops.

Gated

Human-in-the-Loop

Financial disbursements and critical actions require explicit human sign-off.

Air-Gapped

Private Deployment

Self-hosted on your own hardware or dedicated isolated instances.

Engineering Approach & Scope

Moving beyond toy chat interfaces, real business automation requires autonomous agents that execute multi-step jobs reliably over hours or days. Olib AI builds enterprise multi-agent pipelines leveraging our compiled Rust orchestration platform, Erlang-OTP style supervision trees, and persistent 4-tier memory. Tasks are governed by strict token budgets, credential vaults, and human-in-the-loop exception approvals. Agents operate within your firewall or private cloud, reducing operational costs while preserving total privacy.

Who this engagement is for

Companies processing thousands of invoices, claims, or regulatory filings per month

Logistics and manufacturing operators needing continuous sensor and inventory triage

Customer support and back-office teams overwhelmed by multi-system ticket resolution

Organizations wanting autonomous workers without cloud SaaS lock-in or data leakage

Concrete deliverables you receive

Complete autonomous agent runtime compiled for your target infrastructure

Custom tool adapters for internal APIs, database query engines, and web portals

Supervised DAG scheduler with automated retry trees and persistent session memory

Operator governance dashboard with real-time task rollups and human sign-off queues

Prompt injection defense filters and AES-256 encrypted credential storage

Delivery Stages

Three Bounded Delivery Milestones

We do not ask for open-ended retainers. Every stage has defined criteria, timelines, and deliverables.

01Delivery Stages 01

Map agent roles and tool contracts

We define the exact operational boundaries, available tool APIs, input schemas, credential access permissions, and human approval checkpoints.

Concrete deliverables you receive:

You receive an agent architecture specification, tool interface contracts, and failure recovery protocols.

02Delivery Stages 02

Build and sandbox the pipeline

We configure specialized local models, implement SMI tool routing, and sandbox all external browser and code executions inside isolated Docker environments.

Concrete deliverables you receive:

You receive a functioning pipeline tested against synthetic and historical edge cases.

03Delivery Stages 03

Production rollout and governance

We deploy the agent platform into your infrastructure with real-time audit logging, token expenditure alerts, and operator oversight dashboards.

Concrete deliverables you receive:

Your operations team monitors live agent execution with full control over approvals and spending.

Firm Engineering Commitments

Guarantees established in writing before any repository or systems access.

Deterministic tool routing prevents runaway model hallucination

Isolated sandbox environments ensure agents cannot execute unverified system commands

Immutable cryptographic audit logs recorded for every tool call and decision

Complete source and deployment ownership retained by your business

Frequently Asked Questions

Clear answers regarding confidentiality, execution boundaries, and ongoing maintenance.

FAQ

How do you stop agents from doing unexpected actions?

We enforce hard constraints at the runtime level. The Steffi Machine Interface limits models to a maximum of 5 tools per turn, and high-consequence operations (such as payments or deletions) mandate an interactive human approval gate.

FAQ

Can the agents run with open-source local models?

Yes. Because our Rust platform carries the reasoning orchestration and tool validation, smaller local models like Qwen 2.5 or Gemma 2 achieve high reliability on targeted tasks without cloud API costs.

FAQ

How do agents interact with older enterprise software?

We use our native Specter headless browser engine and Droid Control system to drive web portals and mobile applications through structured UI maps rather than flaky screen scrapers.

Other Engineering Practices

Explore our other specialized technical consulting offerings.

For enterprise operations teams

Custom Enterprise Workflows

We map your people, handoffs, and systems, build the automated pipeline, pilot it with real operators, and deploy it onto your own servers.

Read practice details →

For independent founders and fast-moving teams

Launch Review for AI-Built Apps

Built with Cursor, Bolt, or Lovable? We audit authentication, secrets, tenant isolation, database bottlenecks, and LLM billing before launch.

Read practice details →

Get Started

Schedule a confidential technical scoping call

In our initial call, we confirm technical fit, answer questions, and discuss timeline expectations. We write a detailed scope before any commitment.

Discuss an agent deployment