We embed inside your team, learn how you actually underwrite, develop, and operate, and ship AI workflows and software that hold up in production — in weeks, not quarters.
Every team has tried ChatGPT on a document. Most teams have a folder of half-built prompts and an internal Slack of "someone should productionize this." The gap between the screenshot and the operation is where most AI projects die.
Off-the-shelf AI cannot read your zero-reports the way your underwriter does. It does not know which exception goes to which approver. It does not survive your second-largest deal.
A licensed SaaS that bolts on the side will not change how decisions get made. Real adoption looks like AI sitting inside the workflow, owned by you, evolving with the business.
AI engineering and custom software development run under one mandate. I lead both — hands on the keyboard for design and the first builds — with vetted implementation partners brought in for integration and rollout as engagements scale.
We embed AI directly into the work — document understanding tuned to your zero-reports, decision-support copilots that follow your underwriting playbook, autonomous agents that watch portfolios after approval. The team sees better answers in the tools they already use.
When the workflow needs more than a model — internal portals, deal pipelines, data warehouses, decision logs — we build it. Full-stack, integrated with your stack, code and IP handed to you. Engineering as a practice, not as a side service.
A no-prep call. We listen to how the work actually gets done, identify the highest-friction step, and tell you honestly where AI helps and where it does not.
A short discovery sprint. Sample documents, decision rules, exception handling. We come back with a written spec and the measurable outcome we are aiming at.
We build against live files and live users — not a sandbox. Iterations are weekly, with the underwriting team in the loop. By the end we know if it works.
Production deployment, integration into your tools, team enablement. The IP is yours from day zero, and we stay on call for the next phase.
We do not write a year-long onboarding plan. Either the lever is real and we ship it, or it is not and we tell you that.
Three engagements that look different from the outside but share the same shape underneath: a workflow that was eating time, replaced with software the team now owns.
From zero-report ingest to legal review to live portfolio monitoring. Manual reading replaced by focused review on flagged fields and conflicts between sources.
“We stopped reading start-to-finish and started arguing about the right two pages.”
Replaced a 10-day reporting cycle with an automated pipeline pulling from property systems, normalizing exceptions, and producing committee-ready packs.
“The first month it produced the report alone, the team thought something was broken.”
Custom research workflow plus a tuned market-comps engine. Brokers prepare deal packets in a tenth of the time, with citations to source for every line item.
“My job is to win the meeting, not retype data. That is what changed.”
Years inside the domain. I have read the zero-reports, sat in the committees, and built the underwriting flows. You do not have to explain what a non-recourse carve-out is.
We ship inside your team and your systems. The output is your IP, your code, your data. No seat-licenses, no vendor lock-in — a partnership shaped around your operation.
Estatic.ai is a founder-led practice. I work directly on every engagement, with vetted implementation partners brought in for integration, deployment, and hand-off as scope grows. You always know who is writing the code.
First POC in six weeks or we will not start. No year-long onboarding. Either the lever is real and we ship it, or it is not and we tell you that.
A 60-minute call. We map the workflow with the biggest lever, scope a focused POC, and decide if we are a fit. No prep. No commitment.