AI operations builder

Turn messy operations into simple internal tools.

I help founder-led teams clean up the spreadsheets, manual data pulls, follow-ups, dashboards, CRMs, and handoffs that slow the business down.

Talk through a workflow See what I build

DashboardsKnow what is happening

AutomationsRemove repeated manual work

Internal toolsFit the workflow you actually run

The work

Most small teams do not need a huge software project.

They need one painful workflow cleaned up: the report that takes hours, the lead follow-up that slips, the spreadsheet nobody trusts, or the dashboard the founder keeps recreating by hand.

Workflow Cleanup Sprint

Map the process, find the bottleneck, and build the smallest useful fix.

Document how the work actually gets done today.
Identify what should be automated, rebuilt, or left manual.
Ship a focused dashboard, automation, Airtable cleanup, or internal tool.
Leave behind simple documentation so the system is not a fragile one-off.

Send me the workflow

What I build

Practical systems for real operating drag.

The output might be a script, an automation, a dashboard, a cleaned up Airtable base, or a lightweight private web app. The point is not to add software. It is to make the business easier to run.

Visibility

Operations dashboards

Simple dashboards that show status, risk, follow-ups, account activity, or team progress without the founder asking everyone for updates.

Execution

Internal workflow tools

Private tools for repeated work: intake forms, job trackers, checklists, handoff notes, status boards, and lightweight portals.

Automation

Manual-work cleanup

Automations for repetitive data pulls, CRM updates, follow-up reminders, reporting, spreadsheet cleanup, and tool-to-tool handoffs.

Data

Spreadsheet and Airtable systems

Cleaner structures for the messy sheets and bases that already run the business, plus the dashboards or workflows they should feed.

AI-assisted reporting

Practical AI systems for summarizing calls, notes, account history, sales activity, exceptions, and operational decisions.

Build

Lightweight custom apps

Small web apps for important workflows that are too specific for generic software and too valuable to keep running through memory.

How it works

Start with the workflow before writing code.

AI makes building faster, but speed only helps when the system is aimed at the right problem. The first job is understanding the real operating context.

Map the real workflow

Start with how the work actually happens today: tools, people, handoffs, exceptions, delays, and manual rework.

Find the bottleneck

Separate annoying symptoms from the highest-leverage fix, then decide what should be automated, rebuilt, or left manual.

Build the smallest useful tool

Ship a focused dashboard, automation, internal app, or cleanup layer that solves one real operating problem first.

Document and improve it

Leave the workflow understandable, maintainable, and ready for the next improvement instead of another fragile one-off.

Proof preview

Show the owner what matters. Put the detail behind it.

Owner overviewToday needs attention

Dummy data

Open work479 need owner review

Blocked value$38.4kaccounts waiting on next step

Late follow-ups14oldest is 6 days

HighNorth Ridge DentalConfirm technician window

MoneyAtlas FoodsSend deposit invoice

RiskGreenway ClinicReview service history

Example build with dummy data

Founder operations dashboard

The homepage gets the short version. The full example shows the overview, the work queue, account risk, team workload, exceptions, and source data behind the dashboard.

View the full dashboard example

Business operations

$1.5M ARR operating buildout

Built and scaled TLT Distributors from zero to $1.5M ARR in 24 months while designing the sales and operations systems behind it.

Fulfillment systems

1,000+ client service operation

Ran The Podcasting Group and built the fulfillment infrastructure for a high-volume client service workflow.

Build control

Structured workflow discovery

Uses guided interviews, source intake, and reviewable build packets so AI-assisted builds start from the real workflow, not guesses.

Founder cred

Operator first. AI and automation second.

Tim Hallowell

I have spent 15 years across sales, operations, and company building. I started TLT Distributors and scaled it from zero to $1.5M ARR in 24 months. Before that, I ran The Podcasting Group, where I managed 1,000+ clients and built the fulfillment systems behind the business.

I am not just building from a technical checklist. I am most useful when the problem is still messy: work is spread across texts, spreadsheets, CRMs, email, paper, memory, and “ask the founder.”

Start small

Send me one workflow that keeps slowing the team down.

I will tell you whether it is worth automating, what the smallest useful fix probably is, and what I would build first.

Talk through a workflow