SHAHEER.
Where we work

AI consulting in San Francisco

We test AI on your real work, build what wins, and keep it running. Based in San Francisco.

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What one repeating task costs you in San Francisco

AI and automation for San Francisco and Bay Area companies. Growth outruns process fast here, and the handoff between teams breaks first. We test AI on that work, build what wins, and name one source of truth.

The San Francisco skyline across the water at dusk

What you get

Engineering time back to engineering

When your builders are doing operations, both suffer.

AI deployed, not demoed

A market full of AI opinions and short on AI adoption.

Go-to-market machinery

Pipeline, follow-up, and reporting built as a system rather than heroics from two people who will burn out.

Launch communications

Press, podcasts, and search coordinated so a launch reaches beyond your own followers.

What operations work looks like for a San Francisco business

San Francisco companies usually have the opposite problem to most businesses. The product is sophisticated, the engineering is strong, and the operational layer around it was assembled in a hurry by whoever had time. Growth then arrives faster than the process can absorb.

The pattern we see repeatedly is a company that can build almost anything and cannot reliably invoice, onboard or report on it. Nobody chose that imbalance. Engineering attracted the attention and the hiring, and operations was expected to keep up informally.

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What we build for San Francisco businesses

We build websites, chat assistants, connected systems, admin dashboards, apps, lead tracking and automation for businesses in San Francisco.

In San Francisco the most valuable hours belong to the people building the product. Everything below takes internal work off them and puts it on a system.

AI chatbot development in San Francisco

A chat assistant that has read your documentation and can answer technical questions properly. It hands over to a person when it should, and tells you what it could not answer.

AI chatbot development →

AI features that reach customers

We build the parts around a model that decide whether it ships: testing, limits, cost control and what happens on a wrong answer. Your team keeps the product work.

AI strategy →

Website design and development in San Francisco

Product pages, documentation and comparison pages that load fast and read clearly. Built so search engines index them and AI assistants quote them.

Website development →

Systems integration in San Francisco

Product usage, billing, CRM and support in one connected view. A customer picture that is ready on Monday without anyone building it.

Systems integration →

One admin dashboard for the whole company

Pipeline, usage, spend, hiring and delivery on a single screen, kept current on its own. The board pack stops being a week of work.

Admin dashboard development →

App development in San Francisco

Internal tools for provisioning, refunds, support actions and access. The work your engineers keep putting off, built properly and handed over.

App development →

Lead tracking in San Francisco

Every signup arrives with the pages read, the time spent and the questions asked. You know which trials are worth a call.

Lead generation →

Business process automation in San Francisco

Onboarding, provisioning, renewals and usage reports run on their own. Adding customers stops adding hours.

Process automation →

We work alongside your engineers and hand over everything we build with the documentation to run it.

AI consulting in San Francisco

We advise San Francisco and Bay Area companies on where AI belongs in the business and then put it there. Most teams here already use the models individually. The work is turning that into something the company runs on: one use case chosen on numbers, the data rules written down, and hours measured before and after.

What an AI consulting firm in San Francisco does here

Half the companies we talk to in the Bay Area have engineers who can build anything.

AI implementation consultants, meaning the build and the adoption

Choosing the use case is a week.

What AI transformation means for a company that already ships software

For a product company it rarely means the product.

Where we start with a Bay Area company

One call, then a week of measurement across the team you name.

San Francisco companies move fast enough that the risk is picking the visible use case over the valuable one. The measurement week is what separates them.

Questions we get

Do you work with San Francisco and Bay Area companies?

Yes, and it is a market we operate in daily. Our own operations work sits inside a San Francisco AI company in the pharma data space, so the pace and the failure modes are familiar.

We are a technical team with weak operations. Where do we start?

With a measurement rather than a hire. Five days of rough time tracking usually reveals that the constraint is not headcount but a handful of workflows nobody owns end to end.

We have too many tools. Can you consolidate?

Usually yes, and carefully. The instinct is to rationalize the stack first, but replacing tools before fixing the process just moves the confusion into a new interface.

Can you help us get value from AI?

Yes, and it is a large part of what we do. The work is identifying which repeated tasks a model can carry, redesigning the workflow around that line, and measuring against a baseline taken before the tool arrived.

More in the guides and every answer in one place.

What usually comes up in San Francisco

Growth outruns process here faster than anywhere. The handoff between two teams goes first, and quietly.

AI strategy and rollout AI agent development MVP development Backend and API development Process automation Admin dashboard development UI and UX design

Read next

Nearby markets, the sectors most concentrated here, and where engagements usually start.

Who does the work

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

What is getting in your way?

We reply within one business day.