Applied AI & Workflow Automation

AUTOMATE THE WORK
YOUR TEAM SHOULDN'T BE DOING

A pattern we see over and over: the truth lives in your systems of record, and people are the integration. We engineer the workflow itself — orchestration across systems, approval gates where judgment matters, exception handling, and an audit trail you can stand behind.

If your team re-keys orders between systems, chases approvals in email, or rebuilds the same report every week — this is that work.

For more than a decade, ClearSummit has built production software for major corporations and startups. AI increases the team's leverage; clients are still buying accountable product judgment and execution.

Identify the First Workflow

Five moves, one system

Connect first, then orchestrate — the later moves only work when the earlier ones hold. An engagement is usually two or three of these, not all five.

  1. 01

    Connect your systems of record

    CRM, ERP, warehouse, accounting, legacy databases — the systems that already hold the truth about your business. Connecting them properly is what replaces five exports with one answer.

  2. 02

    Orchestrate the workflow across them

    Automation handles a task; orchestration runs the process — handoffs, routing, approval gates, and an exception queue for the cases that need a person. Work moves without somebody pushing it, and the exceptions surface instead of disappearing.

  3. 03

    Make the data dependable

    Data pipelines and decision support: numbers that refresh themselves, mean the same thing every week, and carry their definitions with them. Leadership stops re-litigating whose spreadsheet is right.

  4. 04

    Add AI where it earns its place

    Classification, extraction, drafting, recommendation — where a model genuinely helps. Always with a named person who can approve, reject, or escalate the result, and observability and audit trails so you can see what it did and why.

  5. 05

    Build the product when the workflow needs one

    Some workflows deserve real software — customer-facing or internal. We build it as a product with an owner, not a patchwork of connectors that nobody can maintain.

Where off-the-shelf automation breaks down

Simple automations are useful, and we recommend them when they are enough. Business-critical workflows need exception paths, security boundaries, observability, and a measure of success — the difference shows up after the demo.

Demo-first automation

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Optimizes for the fastest visible demo
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Starts with tools before the workflow
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Treats exceptions as edge cases
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Leaves operating visibility for later
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Measures activity instead of outcomes
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Can leave ownership unclear

Production-minded automation

Starts with one measurable workflow
Fits around your systems and constraints
Designs approval gates and failure paths upfront
Includes testing, monitoring, and operating documentation
Compares results with a defined baseline
Makes source code and ownership explicit

From one workflow to production evidence

We define the business measure and operating constraints before we build, then expand only after the first workflow proves useful.

01

Workflow Opportunity Review

Discover

We map the work, quantify the current baseline, identify failure modes, and decide whether AI is actually the right tool.

02

Blueprint & Success Criteria

Design

Data flows, integrations, who approves what, security boundaries, operating ownership, and the evidence required to proceed.

03

Focused Production Pilot

Prove

One valuable workflow built with testing, monitoring, and fallbacks — then compared against the baseline.

04

Scale What Works

Scale

Harden the workflow, expand coverage, document operations, and transfer the knowledge to your team.

Where this work shows up

  • DTC & eCommerce

    Orders, returns, inventory, and customer service that span storefront, warehouse, and accounting.

  • Professional services

    Client intake, document processing, billing, and compliance workflows for law, accounting, and consulting.

  • Agencies & service businesses

    Onboarding, project coordination, and reporting that currently lives in five tools and one person's head.

  • Healthcare & wellness

    Intake, scheduling, and verification — carefully governed, with audit trails.

  • Logistics & operations

    Shipment state, exceptions, and coordination across carriers, warehouses, and ERPs.

  • Customer-first companies

    Support triage and response drafting with a person approving what goes out.

Operations software is the older half of this work. These are systems ClearSummit built before AI was the mechanism, and they are the kind of thing an automated workflow has to live inside.

Find the first workflow worth proving.

Tell us where time, quality, or visibility is being lost. We'll help frame a measurable first step and the risks it needs to address.

Workflow and baseline review
Practical AI-fit assessment
Risks, dependencies, and ownership discussed upfront
A clear next step—even if the answer is not AI

Request a Workflow Review

Tell us about one repetitive or decision-heavy workflow and its current impact.

No commitment. We'll help determine whether AI is the right fit for this workflow.