Service

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AI Systems, Automations & Agents

Automate operations with AI that actually ships.

At a glance

85CO designs and builds custom AI agents, LLM-powered internal tools, and workflow automations that reduce manual work and augment your team — deployed to production, not stuck in demos.

Abstract AI systems and automation visual

Deliverables

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What you get

  • Workflow audit and automation opportunity map
  • Custom AI agent architecture and prompt engineering
  • Internal tools with LLM integrations
  • API orchestration and pipeline automation
  • Monitoring, logging, and human fallback systems
  • Documentation and team training

Ideal for

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Who this is for

  • Startups drowning in manual ops, support, or data processing
  • Teams wanting to productize internal AI workflows
  • Companies replacing brittle Zapier chains with intelligent automation

Overview

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How we approach this

85CO builds production-ready AI agents and automations — not proof-of-concept demos. We design intelligent workflows that connect to your existing tools, handle edge cases gracefully, and deliver measurable time savings from week one.

Beyond chatbot demos

Most AI automation projects fail at the "demo to production" gap. A ChatGPT wrapper that works in a meeting falls apart with real data, real users, and real edge cases.

We engineer for production: structured outputs, error handling, rate limiting, audit logs, and human review queues where judgment matters.

Common automation projects

  • Support agents — Triage, respond, and escalate tickets with context from your knowledge base.
  • Document processing — Extract, classify, and route information from PDFs, emails, and forms.
  • Research assistants — Aggregate and synthesize data from multiple sources for sales or ops teams.
  • Content pipelines — Generate, review, and publish content with brand-consistent quality controls.
  • Multi-agent orchestration — Chain specialized agents for complex workflows across your stack.

Our approach to agent design

  1. Workflow audit — Map current manual processes and quantify time cost.
  2. Architecture design — Choose the right model, tools, and fallback strategy for each step.
  3. Build & test — Develop with real data, not synthetic examples.
  4. Deploy & monitor — Ship with dashboards, alerts, and iteration based on production metrics.

Security and control

AI automations touch sensitive data. We implement access controls, data retention policies, and audit trails. Your team stays in control with override capabilities and clear visibility into what the system is doing.

See our case studies or book a discovery call to map your automation opportunities.

FAQ

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Common questions

Common projects include customer support agents, document processing pipelines, sales research assistants, internal knowledge bots, content generation workflows, and multi-step agent orchestrations that connect your existing tools via API.

Ready to get started? — /10

Start with a fixed-scope discovery sprint

Book a call to discuss your project. We'll scope deliverables, timeline, and a fixed quote — no lock-in.

Book a call