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AI implementation services: built for your workflow, measured against your baseline
Yaffe AI implements AI directly inside your business: after auditing how your operation runs, we build digital employees — AI agents that take over whole workflows inside your existing systems, ask a person before anything sensitive, and log every action — and measure the result against the baseline we documented on day one.
What does AI implementation actually involve?
Implementation starts after diagnosis, never before it. Once the audit shows where hours are being lost, we design the smallest system that removes the bottleneck: an LLM pipeline that drafts and formats documents, an automation that moves data between the tools you already use, or a model that handles the repetitive judgment calls a person shouldn't have to make. We build it, test it against real cases from your business, deploy it into your existing workflow, and train the people who will use it.
How do we measure whether the implementation worked?
Against your own baseline. During the audit we document how long the work takes today and what it costs. Every implementation is then measured against that number — hours returned, error rates, turnaround time. If the system doesn't beat the baseline, that's our problem to fix, and you'll never have to guess whether it was worth it.
How does an engagement work?
Every engagement starts the same way: a diagnosis. We sit with you and the people doing the work, map how your business actually runs, and find the workflows that eat the most hours. You get a written, prioritized plan with an honest verdict per workflow: a digital employee genuinely helps here, a simpler fix wins here, or leave this alone. Where the numbers justify it, we build the agent ourselves: it works inside your existing systems, asks a person before anything sensitive, and logs every action it takes. If nothing clears the bar, the engagement ends with the diagnosis. We would rather give honest advice than sell unnecessary technology.
Frequently asked questions
How long does an AI implementation take?
The diagnosis is delivered within two weeks of starting. Implementation depends on scope: simple automations ship in days, deeper LLM systems typically in weeks. You'll have a timeline in writing before we build anything.
Do we need our own developers?
No. We build and deploy the system ourselves. If you have a technical team, we work with them and hand over cleanly documented systems they can own.
What if we'd rather build it in-house?
Then we consult instead: same audit, same plan, and we teach your people exactly what to build and how. Implementation and consulting are both on the menu; the business decides which.
Which tools and models do you use?
Whatever fits: commercial LLMs, open models, off-the-shelf automation platforms, or custom code. We resell nothing, so the recommendation is only ever about what works.
Find out which of your workflows could run itself
A free 30-minute diagnostic call. You describe how the business runs; you leave with an honest first read on what a digital employee could take over — even if the answer is "nothing yet".
Request a diagnostic callPrefer email? [email protected] — a person reads it and replies within one business day.