AI & Workflow Automation

Put the busywork on autopilot

Integrations, automations, and agents that take the manual work out of how your business runs, whether that means connecting what you have or putting in what you need.

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know where you stand

where are you on your ai journey?

Most companies are only scratching the surface of what’s possible using AI & automation. We can help move you along the learning curve.

Most Start Here

AI as assistance

AI helps you go faster, but you’re still driving

Drafting Emails
Claude as Thought Partner
Visualize KPIs & To-Do’s
Turning Notes into Plans
Movin’ On Up

AI as automation

Repeatable work that runs itself start to finish

Setup New Customers Automatically in Systems
Extract Data from Forms
Demand & Volume Forecasting
The Promised Land

AI with agency

AI makes the call and acts. People step in for exceptions.

Overdue Accounts Chased
Real-Time Delivery Routing
Customer Support Triage, Dispatch, & Response
capabilities

The work we take off your plate

Planning & Process Mapping

Before anything gets built, we map how the work actually moves today: the systems, the data, the handoffs, and who touches what. That map becomes the plan and shows where automation pays off.

Data & System Integration

Most companies have someone sitting between two systems, exporting from one and importing into the other. We connect the systems directly, so the data moves on its own and stays consistent.

Workflow Automation

Approvals, onboarding, invoicing, account setup. Work that follows the same steps every time gets built to run itself, and a person comes in only where judgment is needed.

AI Agents

Agents that read what comes in, work out what it is, route it, and learn from every correction. Your people handle the exceptions instead of the queue.

Reporting & Insights

Dashboards and alerts that pull straight from your systems, so the numbers are current and nobody has to assemble them by hand. You see what’s happening across the business without waiting on a report.

Lerner Solutions operating guide pages
want to chat?

bottleneck? let’s fix it.

Bring the workflow that eats the most time. We’ll map how it runs today, what it touches, and what it would take to automate.

100,000 customers in 3 sytems with nobody in the middle

The finance team for Engine, a VC-backed travel management company, ran accounting in NetSuite, sales in Salesforce, and planning in Adaptive, with someone exporting and importing between each pair by hand. Invoicing was rebuilt on Tray.ai, collections was moved to a dedicated platform, Adaptive’s NetSuite connector was used to drive budget-to-actuals, and a daily dashboard replaced manual reporting. The time went into analysis and customer relationships.

7 days → 1 day
to send invoices
60 → 25 days
DSO
~3,000 hours
returned per year
common questions

Before we talk, here's what most teams want to know.

Our systems and data are a mess. Can we still automate?

Yes, and most companies are in the same spot. The first step is usually connecting the systems you already have so the data lines up. While that’s underway, we can build self-contained automations that don’t depend on it, so your team sees wins early.

We don’t have a plan. Where do we start?

With your business goals, not a tool. If you don’t have a clear list of where automation pays off, that’s what our AI Strategy Sprint produces: a map of how work moves today and a ranked list of what to build first.

We have people building some of this themselves. Do we need you?

Maybe not for everything. Plenty of clients have someone handy with AI tools, and that’s a good thing. We take on the heavier builds and integrations, set the standards and guardrails, and keep the DIY work from turning into something nobody can maintain.

What are your most common use cases?

It depends on the company and the industry, but a few come up again and again. Finance is a great place to start, and so is customer support: triage, dispatch and drafted responses. Many clients start by connecting the systems they already have, or by building a knowledge layer their team can actually trust.