Markhor IT SolutionsMarkhor IT Solutions

AI Automation

Automate ops with LLM agents.

  1. 01 · Scope

    Map the work worth automating

    Inventory repetitive ops tasks, define success metrics, data access, and hard boundaries for what agents must never do alone.

  2. 02 · Architecture

    Agents, tools & evaluation

    Design agent graphs, tool interfaces, prompt contracts, evaluation harnesses, and failure modes before any production write path opens.

  3. 03 · Integrate

    Wire production safely

    Connect to your stack with auth, rate limits, idempotent writes, observability, and human-in-the-loop queues for low-confidence cases.

  4. 04 · Operate

    Monitor, refine, hand off

    Ship dashboards, refine prompts and models against live traces, and transfer ownership with runbooks your team can extend.

Manual ops don't scale — and brittle scripts break silently.

Teams drown in repetitive workflows across tickets, CRM updates, and internal tools. One-off scripts and Zapier chains lack guardrails, observability, and the reasoning needed for edge cases. When something fails at 2am, nobody knows which hop broke — or whether the agent already wrote bad data downstream.

LLM agents with tools, guardrails, and production observability.

We design agent architectures that reason over your data, call APIs safely, and escalate when confidence is low — deployed with evaluation harnesses, not demo scripts. Every action is traced, every tool is scoped, and every failure path has a human handoff.

  • OpenAI
  • Anthropic
  • LangGraph
  • Python
  • FastAPI
  • Redis
  • PostgreSQL
  • OpenTelemetry
  • Docker

Agent failure signals

What breaks before an agent earns production trust.

  1. SIG-01

    Hours lost to copy-paste between systems

  2. SIG-02

    Automation breaks when data formats shift

  3. SIG-03

    No audit trail for AI-driven decisions

  4. SIG-04

    Edge cases pile up in shared inboxes

  5. SIG-05

    Ops tools know different versions of the truth

  6. SIG-06

    Nobody owns monitoring after the first demo

Ready to start

Scope a AI Automation engagement with senior engineers.

Fixed-scope, dedicated squad, or staff augmentation — we'll map the right model in a short scoping call.