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Service — Automation

AI workflow automation

The repetitive work that lives between your tools — copying data, triaging inboxes, chasing follow-ups, compiling reports — handled by AI agents wired into the systems you already run.

1M+ IoT devices served in production at Battery Smart
$340M Valuation the founder's tech scaled to
0 Human handoffs for in-scope voice calls
4 Regions with clients — India, US, UAE, Europe
The Problem

Your team is doing work software should do

What's Included

Automation that can actually read and decide

We build automations around an LLM agent layer, so they handle the judgment steps that rule-based tools can't — while staying wired into your real systems.

How We Work

From manual process to running pipeline

  1. Process mapping We shadow the current workflow end-to-end and identify the steps worth automating and the ones that must stay human.
  2. Agent & integration design We design where AI makes decisions, where rules suffice, and the exact points that need human approval.
  3. Build & connect We build the pipeline against your live tools, with logging and error handling from day one.
  4. Rollout & handover We run it in parallel with the manual process first, then cut over once accuracy holds, and hand you full visibility.

Fixed-scope packages from $500. We scope to a defined outcome and quote a fixed price before we start — no open-ended hourly billing. Larger or multi-phase builds are milestone-based.

Proof

The same agent layer runs in production

The LLM agent layer behind our automations is the architecture running our production voice agent at Battery Smart — an agent that queries live APIs, makes decisions within hard guardrails, and escalates when it should. Workflow automation is that same pattern applied to your back office instead of your phone lines.

See the agent architecture in production →

Related industries

Automation for these operations

FAQ

AI workflow automation FAQs

How is this different from Zapier or Make?

No-code tools are great for simple trigger-action rules. We build for the steps that need judgment — reading a document, deciding a category, handling an exception — using an LLM agent layer, and we integrate deeper into your systems.

Will the AI make mistakes on important tasks?

We put humans in the loop on anything high-stakes: the automation drafts or proposes, a person approves. Everything is logged, so you can audit exactly what ran and why.

What tools can you integrate with?

Anything with an API — your CRM, help desk, databases, accounting, and internal systems. Where there's no clean API, we discuss the trade-offs before committing.

Do we need to replace our existing software?

No. The whole point is to automate the work between the tools you already use. We build around your stack, not over it.

How do you price automation projects?

We scope to a defined workflow and quote a fixed price for that outcome. Multi-workflow or phased rollouts are billed by milestone. Exact figures depend on integration complexity.

Put your busywork on autopilot

Book a call and walk us through one repetitive process — we'll tell you what automating it would actually take.