One problem inside a larger company, owned end to end
Measured first, fixed in your own systems, and reported every week in writing with numbers in it.
One named problem, measured, fixed in your systems and handed back documented. Findings in writing inside two weeks. One contact throughout, and everything stays in your accounts.
What larger teams bring us
A process nobody can see into
One workflow measured end to end: where the hours go, where work waits, and what it costs. Findings in writing, usually inside two weeks.
Systems that do not talk
The two or three connections where work stops, one owner for each record, and the retyping between them removed.
Automation that has to prove itself
Hours taken before and after, so the saving is a figure your finance team can check rather than a claim in a deck.
AI that has to be safe first
One named task, an owner, a baseline, and a written rule for what may go into a model. Then the next task, not a platform.
Two reports, two numbers
Each metric defined once with an owner, and one source every report reads from, so the meeting is about the number and not whose it is.
A seat that is empty for now
Senior operations capacity for part of the week, holding the seat until the work runs without it or the permanent hire arrives.
What working with us looks like
It starts with one process and a measurement, not a proposal. We sit with the people who do the work, log where the time goes for a week, and write down what we found with the numbers attached.
Then the cause gets fixed in the order that holds: the process first, the connections second, automation and AI last. The other way round is how a company ends up automating a mess and paying to run it.
Everything is built in your accounts and under your rules, and we sign your NDA before anything specific is shared. You have one point of contact, a written update every week with numbers in it, and every decision is put to you in plain language before it is made.
At the end your team gets the work documented and handed over, the before and after figures side by side, and nothing that only we know how to run.
When the work needs more hands, a dedicated team adds them. Leaders who need their own week run get executive assistance. Cross team work comes with project management. Leaders who need the rhythm run can bring in a fractional chief of staff. Vendor sprawl shows up fast in the renewal radar.
Questions we get
Do you work with larger companies?
Yes, one named problem at a time. A larger company brings us the process that keeps coming up in the operating review, and we own it from the first measurement to the number that says it worked.
Will you sign our NDA?
Yes. Send yours before the first detailed call, and nothing specific about your business needs to be shared until it is signed.
Can you work through our procurement process?
Yes. Send the paperwork your team uses and we work through it with you, on your templates and in your order.
Whose systems does the work run in?
Yours. Anything we build lives in your accounts, under your access rules, and keeps running when we are gone.
What do we own at the end?
Everything that was built: the workflows, the code, the prompts and the data, in your name, with the documentation to run it.
Who owns the code covers the assignment in more detail.
How is progress reported?
In writing, every week, with numbers in it, from one point of contact. Decisions come to you in plain language before they are made rather than after.
How do we start without a long procurement cycle?
With a diagnostic of one process. It is small enough to approve quickly and it produces findings in writing, usually inside two weeks, which is the evidence anybody further up will ask for.
What about AI and our data?
Nothing goes into a model that your rules do not allow. If your company does not have that rule written down yet, there is a one page AI use policy on this site that is free to copy.
More in the guides and every answer in one place.
Shaheer leads the work, with engineers, writers, filers and analysts behind him. C-suite operations for a San Francisco AI company, Six Sigma on the process side, Anthropic certified on the Model Context Protocol, ten years across eight industries. See what we have built