Operations and AI implementation
We’re on it. On It Service is an operations firm in Los Angeles. We put AI to work on the jobs your team repeats, fix the processes and contracts that cost the most, and run the projects that have to land on a date.
- List the tasks your team repeats every week On It team, with your managers Done
- Put AI on the first one, with a person checking On It team, with the task owner Done
- Map how the slowest process really runs On It team, with the people who run it Done
- List every contract, vendor and renewal date On It team Done
- Hand over a 90-day plan with owners and dates On It team Done
How an engagement usually opens.
Organizations we’ve worked with
The problems we get called in for
Each of these has a fix we have run before. On the left, what you’re living with. On the right, what changes.
- The AI pilot never left the pilot.
- What changes: One repetitive job automated inside your systems, and the hours it saves counted monthly.
- Every order needs someone to chase it.
- What changes: One map of how the work moves, with the waits taken out and one owner per handoff.
- Nobody can say who owns vendor spend.
- What changes: A single list of contracts, owners and renewal dates, with savings counted against it.
- The big project is late, and nobody wants to say so.
- What changes: A named project manager, one honest plan and a one-page status every week.
AI that takes real work off your team
Most companies have tried a chatbot. Fewer have taken a weekly job off someone’s desk. We start with the work your people repeat, set AI up inside the systems you already use, keep a person checking the output, and count the hours it gives back.
We use the same tools in our own work every day.
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Invoices and purchase orders
By hand Typed into the system by hand
With AI Read and entered by AI, checked by your clerk
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Three-way matching
By hand Checked line by line
With AI Matched automatically; only the mismatches reach a person
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Weekly reports
By hand Copied together from three systems
With AI Drafted from your data, checked by the manager who sends it
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Staff questions
By hand Asked of whoever has been there longest
With AI Answered from your own procedures, with the source attached
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Customer replies and quotes
By hand Written from scratch every time
With AI First drafts ready for a person to edit and send
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Scheduling and reminders
By hand Phone calls and email chains
With AI Booked, moved and confirmed automatically
Three kinds of work, done to the finish
Most engagements combine two of them. Each one has a single lead, a written plan and a weekly status.
- AI implementation and automation We find the work your team repeats, put AI on it inside the systems you already use, and count the hours it gives back.
- Process improvement and cost reduction We map how the work really moves, take out the steps that cost the most, and renegotiate the contracts you already pay.
- Project and program management A named project manager who runs the plan, chases the dependencies and reports to you weekly on one page.
2,400
CLOC members, up from 300, while we supported their operations
From one AV job to running day-to-day operations
In 2016 we ran the AV for the first CLOC conference in San Francisco. CLOC then asked us to help its leadership with growth and daily operations: member support, webinars, the content of more than 200 sessions, a speaker portal and the vendor negotiations. Over the years we supported them, membership grew from 300 to 2,400.
- Countries represented
- 47
- Member companies
- 1,200
- Share of the Fortune 100
- 70%
- Saved through negotiation
- $150,000+
- Conference sessions managed
- 200+
Figures as published in our 2019 case study.