Custom AI tools and AI adoption programs for any team that runs on deep expertise and has no AI Engineering team. Clients include strategy firms, advocacy groups, law practices, media monitors, and family offices.
Current clients are available as references on request.
Your people lose hours every day to data entry, research, drafting, formatting, and synthesis. Each engagement finds those workflows, then either builds the tool that automates them or empowers your team to automate them with the AI platform you already pay for.
One-on-one coaching, functional cohorts, all-staff trainings, internal champions, and a living best-practices guide.
Delivered An ongoing embedded program at a mid-size strategy consultancy, from executives to junior staff.
Internal web apps that replace spreadsheets, legacy systems, and copy-and-paste workflows. Full stack: backend, frontend, database, cloud hosting, and browser extensions.
Delivered Rebuilt a media-intelligence firm's daily briefing platform and shipped it to production in about 3.5 months.
Pipelines that take messy inputs (court forms, news transcripts, financial holdings, interview notes) and turn them into structured, reviewable output, with a human approval step.
Delivered An asset-classification pipeline for a multi-billion-dollar family office.
Secure connectors (MCP servers) that let Claude, ChatGPT, or Gemini read from and write to the systems your team already uses. Read-only by default, approval required on every write, enterprise single sign-on.
Delivered Connectors for an investment portfolio platform, a legal matter-management system, and a donor database.
Reusable assistants (skills and agents) built inside the AI platform you already pay for, so staff get expert help without learning a new app.
Delivered 10 legal skills covering 159 court jurisdictions, deployed firm-wide.
Platform audits, build-versus-buy decisions, vendor evaluations, AI policy basics, hiring help, and fractional CTO support.
Delivered A vendor evaluation that cut redundant AI subscriptions at a strategy consultancy, and an AI roadmap with data-privacy guidance.
A discovery call and short interviews to find the workflows that eat the most time.
A working proof of value on real data within weeks, not a slide deck.
Ship the production tool, or coach your team to build it themselves, whichever fits the problem.
Evaluations, accuracy checks, and before-and-after time comparisons.
Documentation, training, and tools your own staff can run and extend.
An optional monthly retainer for maintenance, new features, and ongoing coaching.
Engagements are fixed-price builds, capped audits, hourly advisory, or monthly retainers. Work is remote nationwide and in person in the Washington, DC area.
Any team that runs on deep expertise and has no engineers of its own. Work so far has been in these fields:
Not on this list? The approach is the same in any field: find the work that eats your team's hours, then automate it.
Your team keeps whichever AI platform it already uses (Claude, ChatGPT, or Gemini). Nothing forces a switch.
Nir Hauser is an AI engineer and founder based in the Washington, DC area, with 25 years of software engineering experience.
Before starting this practice, Nir was co-founder and CTO of VineSight, an AI platform that detected viral misinformation and coordinated bot networks on social media for nonprofits and election-integrity groups.
Nir builds the whole stack: Python backends, React and TypeScript frontends, PostgreSQL, cloud hosting, and AI integrations across Claude, OpenAI, and Gemini. That includes daily work with the current AI toolchain: agentic workflows, MCP servers, skills, Gemini Workspace flows, evaluation harnesses, and multi-agent research.
The first call is a conversation about where the hours go and how a tool or a training program would get them back.
Current clients are available as references on request.
Hauser AI Engineering Solutions