Hands-on staff time per article in a daily media briefing, after AI took over the first pass
97% accepted as is
AI-selected excerpts approved by staff without edits
3.5 months
From taking over a failing system to production launch
Current clients are available as references on request.
What makes Hauser AI different
Your people lose hours every day to data entry, research, drafting, formatting, and synthesis. Hauser AI identifies those workflows, builds the tool that automates them, or empowers your team with the AI platform you already pay for.
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Both sides of AI: building and adoption
Most firms do one or the other. Hauser AI ships production software and also runs the coaching and cohort programs that get skeptical staff using AI every day.
AI that empowers your people
Hauser AI is not here to replace your staff. The tools and training take the tedious work off their plates, so their expertise goes further and their time goes to the work only they can do.
Accuracy first
AI proposes, people approve. The AI never makes a final call on its own: it drafts, classifies, or flags, and a person signs off before anything goes out.
Results that stay with your team
When an engagement ends, the tools are in daily use and your staff know how to get more out of AI without outside help.
Six services, each backed by delivered work
AI adoption and enablement
One-on-one coaching, role-based 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.
Custom AI applications
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.
AI document and data automation
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.
AI integrations and connectors
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.
Packaged AI assistants
Reusable assistants (skills and agents) built inside the AI platform you already pay for, so staff get expert help without learning a new app.
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.
How an engagement runs
Listen first
A discovery call and short interviews to find the workflows that burn the most time.
Prototype fast
A working proof of value on real data within weeks, not a slide deck.
Build or enable
Ship the production tool, or coach your team to build it themselves, whichever fits the problem.
Measure
Evaluations, accuracy checks, and before-and-after time comparisons.
Hand off
Documentation, training, and tools your own staff can run and extend.
Support
An optional monthly retainer for maintenance, new features, and ongoing coaching.
Engagements are fixed-price builds, capped audits, hourly advisory, or monthly retainers. Hauser AI works remotely nationwide and in person in the Washington, DC area.
Technical depth behind the services
Evaluation and quality measurement Test suites for AI output, model bake-offs, and reports that compare AI output to human edits.
Learning loops Human corrections are captured and fed back to improve prompts and rules over time.
Hybrid design Fixed rules handle the predictable 90%, and AI handles only the ambiguous cases. This cuts cost and error.
Multi-agent research Large research jobs split across many parallel AI agents, each working from primary documents only.
Cost control Model selection, batch pricing, and infrastructure moves that cut AI and cloud bills.
Your data stays yours AI tools get only the access they need, can't change anything without your approval, and run inside systems you control.
Who this is for
Any team that runs on deep expertise and has no engineers of its own. Hauser AI's work so far has been in these fields:
Advocacy, nonprofit, and mission-driven organizations
Public affairs, communications, and strategy consultancies
Media monitoring and intelligence firms
Law firms and legal nonprofits
Wealth management and family offices
Philanthropy and climate organizations
Not on this list? The approach is the same in any field: find the work that burns your team's hours, then automate it.
Your team keeps whichever AI platform it already uses (Claude, ChatGPT, or Gemini). Nothing forces a switch.
About Nir Hauser
Nir Hauser is an AI engineer and founder based in the Washington, DC area, with 25 years of software engineering experience.
Before starting Hauser AI, 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.