AI implementation
Less a strategy. More a Tuesday that takes two hours less.
We put AI to work on the recurring jobs a business actually does — reporting, administration, billing preparation, sales support — and train the people who have to live with it.
Most AI projects fail at the boring part.
Not the model. The part where somebody has to know which report takes four hours every Monday, where the data actually lives, who signs off, and what happens when the number looks wrong. That is implementation work, and it looks more like operations than like technology.
Finding useful opportunities
We start with the recurring tasks, the reporting people dread, the information bottlenecks, the systems already in place and how employees actually work — as opposed to how the process document says they work. The shortlist comes out of that, ranked by what is both valuable and genuinely doable.
Building workflows and assistants
We configure the tools, build reusable workflows, organize the supporting information so answers are grounded in your material, and connect systems where that makes sense. Approval and judgment stay with a person wherever the output has consequences.
Training and adoption
Individual coaching, demonstrations, workshops, practical guides and ongoing support — tied to what each person is actually responsible for. A workflow nobody trusts is a workflow nobody runs.
Ongoing improvement
Workflows get refined as people use them and as the business changes. The first version is a draft; the useful version is the fourth.
Built and running
We run this on ourselves first.
Everything below was built inside our own operations and is in use. We describe it as what it is, rather than as a case study with invented numbers attached.
Monthly billing preparation
Routines that track monthly hours, generate the invoices, request approval, and draft the accompanying client emails.
Preparing a draft, approving it and sending it stay three separate steps. Nothing goes to a client without a person saying so.
Advertising reports and dashboards
Monthly client reporting and dashboard workflows built on campaign data from Google Ads, LinkedIn Ads and Meta Ads.
Management and operational reporting
Agents and automations producing daily, weekly and monthly reporting: executive weekly summaries, pipeline dashboards, a 13-week cash-flow report, financial reporting and controller support, and other recurring reporting and administrative work.
The systems involved
This work touched QuickBooks, Asana, ProJul, OneDrive and Outlook.
Different workflows used different tools. This was not one integrated platform, and describing it as one would be a nicer story than the truth.
Where it applies
Not just a marketing tool.
The same approach applies across the business. These are areas the service covers — distinct from the completed work above.
Marketing
Campaign reporting, content production, research, competitive monitoring, briefing.
Operations
Recurring reports, status roll-ups, exception flagging, document handling.
Administration
Scheduling, correspondence drafting, record keeping, document preparation.
Sales support
Pipeline summaries, call preparation, proposal drafting, follow-up drafting.
Customer service
Drafted responses from your own material, triage, recurring-issue summaries.
Finance support and HR
Reporting and analysis, controller support, onboarding material, policy drafting.
Finance work means reporting, analysis and controller support. It is not accounting advice, and a person reviews anything that matters before it goes anywhere.
Start with one workflow.
Pick the task somebody complains about every week. If that one works, the rest of the conversation is easy. If it does not, you have lost very little.