Managed Code

AI Automation Agency

AI automation that runs your real workflows.

We're an AI automation agency. Managed Code builds AI automation services that run the business processes eating your team's time - intake, extraction, routing, approvals, support, follow-up - inside your own systems, under a human's sign-off, with tests and a full audit trail. You own the code we write. We start by mapping one workflow, then automate what's worth automating.

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The goal isn't to automate everything. It's to automate the right things, prove they work, and leave your team doing the parts that actually need a human.

PROOF — MANAGED CODE, ON ITSELF

As a back office automation agency, we didn't learn this from a deck. We run it on our own company. Through 2026 we automated three of our own back-office functions with the same AI-and-integration approach we sell: Finance, SEO, and Content pipelines that absorb roughly the workload of two mid-market full-time hires, without two extra salaries on payroll. That's automation done right: more output from the same team, spent on the work that pays back.

CAPABILITIES

What we automate

Start your project

  1. Intake

    Requests, forms, emails, and documents arrive through a handful of channels and get retyped by hand. We capture them once, structure them, and start the process automatically.

  2. Document extraction

    Invoices, contracts, applications, and PDFs read and turned into clean, structured data, with confidence scores, so low-certainty items go to a person instead of quietly going wrong.

  3. Routing

    Every request sent to the right queue, team, or person based on your rules, not on whoever happens to see it first.

  4. Approvals

    Approval steps that run themselves when they're routine and escalate when they're not, with the full trail of who approved what and when.

  5. Follow-up

    The follow-up nobody enjoys - reminders, status updates, second requests - happens on time, every time, automatically.

  6. Reporting

    The weekly numbers pulled, assembled, and delivered automatically, so the report writes itself instead of eating a Friday afternoon.

CUSTOMER SUPPORT AUTOMATION

Cut customer support costs without cutting the team

The most common reason teams bring us in is support volume. An AI automation agent handles the repetitive tickets - password resets, status checks, the same ten questions - and escalates the rest to a person with full context. Teams use it to absorb growth without adding headcount, not to replace the people they have. We measure it against a baseline: tickets deflected, time to first response, and cost per resolved ticket.

You own what we build

When the engagement ends, you keep the code, the documentation, and the ability to change it. No black box, no lock-in to our platform. Full source-code ownership is the default here, not an upsell.

HOW IT WORKS

The same four steps as any serious build.

Get Started
  1. STEP 1

    Map

    We map one real process end to end: where it starts, where it stalls, and where a human decision actually matters. This tells us what's worth automating and what should stay manual. Business process automation services fail when they skip this and automate a broken process faster.

  2. STEP 2

    Build

    We build the automation with AI where judgment is needed and plain integrations where it isn't, with tests from the start. Every step has a fallback, and anything uncertain routes to a person.

  3. STEP 3

    Integrate

    We connect it to the systems you already use (CRM, ERP, ticketing, email, spreadsheets, internal APIs) so work moves between them without a human as the copy-paste layer.

  4. step 4

    Measure

    We ship to production with logging and a full audit trail, then measure against real volume: time saved, error rate, throughput. You get the numbers, and we tune from there.

Tech stack

Automation only helps if it acts inside your real systems. We connect to CRMs, ERPs, ticketing and helpdesk tools, email and calendars, databases, spreadsheets, and internal or third-party APIs. We also handle the unglamorous parts that decide whether automation survives: retries, idempotency so nothing fires twice, rate limits, and clean error handling on .NET and Orleans.

generative AI

  • Microsoft Agent Framework

    Create powerful AI agents using .NET and Azure.

  • Azure AI Services

    Cloud platform for deploying and scaling AI solutions.

  • OpenAI ChatGPT

    State-of-the-art language models for conversation and content.

  • Claude

    AI assistant focused on reasoning, safety, and long-context tasks.

  • Mistral AI

    Open-source LLMs optimized for speed and efficiency.

  • Copilot

    AI-powered assistance for coding, writing, and productivity.

  • Gemini

    AI-powered assistance for research, coding, and creativity.

FAQ

Answers before the first call.

Quick answers to what comes up on every first call — about AI, speed, scope, and how we work.

AI Agents

Need a specific agent built, not a whole process automated? Custom workflow, RAG, and decision agents, same team.

AI Discovery

A buildable plan before you commit to a full build.

AI Dev Team

Full product builds when the work is bigger than one agent.

Start here

Bring us the agent that keeps braking

Tell us which workflow eats time, creates errors, or keeps landing back in a human review queue. We map the data, tools, risks, and escalation path before recommending anything.

Book a 15-min call

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