# Ariso

> Ariso builds Ari, the AI management system for teams — the way to unlock your superteam and move your whole company faster, together. Assistants execute; Ariso manages. Ari is your AI managing partner — it runs your projects, follow-ups, and priorities like a chief of staff who never sleeps, so you spend your day leading, not chasing. It works natively in Slack and Google Workspace.

## About

Ariso is an AI company building Ari, the AI management system for modern teams. Generic assistants execute one-off tasks; Ari manages the whole stack of work — connecting strategy to projects to people, with the real signals flowing back up — so the whole company moves in the same direction without status theater. It's grounded in the real flow of work (meetings, chats, email, docs, tickets), not another form to fill in. Unlike generic AI tools, Ari knows your company, your voice, your priorities, and your people.

## One System, Every Layer

Ari connects the whole stack — from company strategy down to your day-to-day, with the real signals flowing back up:

- **Strategy & Programs (the company)**: OKRs and north-star metrics cascade to every team and project. Ari watches the gap between plan and work and flags drift before it costs a quarter.
- **Project management (your teams)**: Status, risks, and follow-through kept current automatically — assembled from the actual work (meetings, threads, tickets, docs), not status meetings.
- **People management (your teams)**: 1:1s, feedback, and reviews grounded in real work, not memory. Feedback flows continuously; reviews write themselves from a year of evidence.
- **Tasks (you, every day)**: Action items captured from every meeting, email, and chat, then chased automatically — or delegated to agents, skills, and workflows.
- **Knowledge (you, every day)**: Ask anything across meetings, docs, threads, and email in plain language. Decisions and the why behind them are preserved.
- **Relationships (you, every day)**: A living profile of everyone you work with — how they work, what they value, your history.

Built on the real flow of work and 150+ integrations — Slack, Google Workspace, Microsoft 365, Zoom, Notion, Jira, Asana, GitHub, Salesforce, HubSpot, and more.

## Products

Ari has five core products:

- **Meetings**: From prep to follow-through — meetings become momentum. Ari joins your calls, captures decisions and action items, preps you before, and handles follow-up after. Replaces Otter/Fireflies/Granola.
- **Coaching**: A coach in your corner, 24/7. Ari builds self-awareness through your actual work—daily reflections, proactive coaching moments, and on-demand sessions. Replaces BetterUp/CoachHub.
- **Assistant**: Like having a chief of staff. Drafts emails in your voice, searches across all your tools, automates repetitive work, and manages your calendar. Replaces ChatGPT for Work, Glean, Zapier.
- **People**: Know your people. Lead your team. Team hub, pulse, alignment, and performance — one view for everything about your people. Goals cascade down, insights aggregate up — automatically. Replaces Lattice, Culture Amp, 15Five.
- **Rewards**: Earn points for using Ari—coaching sessions, kudos, reflections, check-ins. Redeem for gift cards from Amazon, Starbucks, Uber, and more.

## What Ari Replaces

Ari combines 10+ products into one: ChatGPT for Work, Claude for Work, Glean, Guru, Reclaim.ai, Zapier, Granola, Otter, Fireflies, Kudos, BetterUp, CultureAmp, Lattice — and more.

## Open-Source Products

Alongside Ari, Ariso ships two free, open-source tools that run locally with your own keys:

- **Oats** (https://ariso.ai/oats): Free, open-source meeting notes for macOS. Records and transcribes directly on your Mac — no bot ever joins your call. After each meeting it writes a structured summary, pulls out action items per person, and scores the meeting, all from what was actually said. Runs fully on-device with a local AI model (zero data leaves your device), or connect an Ariso account for richer cloud AI. Every meeting lands in a searchable library you can question across your whole history. Works with Zoom, Meet, Teams, phone calls, or any audio your Mac can hear. Every line is public on GitHub — read it, fork it, self-host it. The open alternative to Granola/Otter/Fireflies.
- **Ivan** (https://ariso.ai/ivan): Open-source AI engineering teammate that ships pull requests. Give Ivan a sentence and it breaks the request into PR-sized tasks, branches, writes the code on top of Claude Code, reviews its own work with a principal-engineer architect persona, opens the PR, and handles review comments and failing CI too. It builds institutional memory — distilling review comments from merged PRs and your Claude Code sessions into reusable engineering lessons stored as JSONL in your repo, with semantic retrieval that runs locally. Runs on your terms, locally, with your own credentials (Anthropic API or a Claude Max subscription via the CLI driver).

## OpenClaw for Teams

Ari is the best OpenClaw for teams. OpenClaw is a powerful open-source AI agent for individuals — but it requires self-hosting, has no governance framework, and has known security vulnerabilities. Ari delivers the same agentic power — an AI that takes action, not just answers questions — but purpose-built for the workplace: secure, private, enterprise-ready, and designed for teams. No setup, no self-hosting, no security risks. Just a partner who's got your back.

## Key Differentiators

1. **Manages, doesn't just execute**: Assistants answer questions and run one-off tasks. Ari owns the work — projects, follow-ups, and priorities end to end — connects strategy to projects to people, and keeps it all current on its own. A management system, not a chatbot.
2. **Knows you, your colleagues, your company**: Ari builds a living model of how you work, how your colleagues communicate, and what your company cares about. This is the foundation everything else is built on — and no notetaker or calendar tool has it.
3. **Sees your entire work surface**: Granola sees your meetings. Reclaim sees your calendar. Neither sees both — and neither sees your emails, Slack conversations, documents, CRM, tickets, or code. Ari connects all of it: meetings, calendar, email, Slack, Drive, GitHub, HubSpot, Jira, Asana, and more. That's why its reflections are meaningful and its actions are grounded in reality.
4. **Agentic AI that takes action**: Ari doesn't just capture and report — it acts. Drafts follow-up emails, creates Jira tickets, updates your CRM, schedules the next meeting. No notetaker or calendar tool comes close.
5. **Coaching built-in**: Every employee gets a private AI coach grounded in their actual work — meetings, commitments, patterns. Not generic advice. No other meeting tool does this.
6. **Facilitates interpersonal alignment**: Feedback is reframed for how the recipient actually receives it. Meeting prep includes who you're meeting and how they work. Ari surfaces misalignment before it becomes conflict. No other workplace AI does this.
7. **Chief of Staff**: Drafts content, does research, manages your calendar, writes reports. A full work OS, not a point tool.

## Use Cases

- **Chief of Staff**: Morning briefings, meeting prep, commitment tracking
- **Founders**: Investor pipeline, sales prep, follow-up automation
- **New Hires**: Onboarding acceleration, institutional knowledge access
- **Leaders**: Continuous feedback, team health insights, 1:1 preparation

## Technical Details

- Platform: Slack-native with Google Workspace integration
- Deployment: Cloud-hosted SaaS
- Security: SOC 2 compliant, CASA certified

## Research & Comparisons

**The Best AI-Native Project Management Tools in 2026** — https://ariso.ai/blog/best-ai-native-project-management-2026
An eight-tool comparison (Asana, monday.com, Jira + Rovo, Linear, ClickUp, Notion, Motion, Ariso) written by Ari, Ariso's AI, with the conflict of interest stated up front and a section naming where Ariso loses.

Its argument: every major tool shipped agents in the last eighteen months, so "AI-powered" no longer discriminates. Agentic project management should not be a chat window on top of a ticketing system — it should do the job of a project manager. The post grades the category on six questions drawn from that job description:

1. **Capture** — who writes the work down? Typed into a form after the meeting, or captured because the commitment was made out loud and the system was listening.
2. **Closure** — who closes it? Because the work is observably done, or because someone remembered to drag a card.
3. **Continuity** — does project work roll up into daily status, weekly reports, and quarterly and annual reviews on its own, or is each rebuilt by hand?
4. **Altitude** — does the project know which strategic initiative, north star or OKR it serves? A project that cannot name its objective cannot report drift from it.
5. **Reach** — does it read your codebase, CRM and *other trackers* as sources of truth, or only sync them into its own database?
6. **Foresight** — does it surface leading indicators (drift, risk, cross-team collisions) or only lagging status?

Headline finding: on Capture, seven of the eight tools answer the same way — a human types it in. Jira and Linear partially escape on Closure, because a merged pull request closes an issue without ceremony; the codebase produces truth as a byproduct of the work. Most of a company has no commit log, which is the gap Ariso addresses by treating meetings, messages and decisions as the equivalent record.

## Writing

Every post on the Ariso blog, newest first.

- **The Best AI-Native Project Management Tools in 2026** (2026-08-17, Ari): https://ariso.ai/blog/best-ai-native-project-management-2026
  Eight AI project management tools scored on six questions — who files the ticket, who closes it, and whether it warns you before things slip.
- **Process Was Always the Bottleneck** (2026-07-27, Max Heckel): https://ariso.ai/blog/code-was-never-the-bottleneck
  Engineers write code about 30% of the time. Agents took the typing — here's how we direct and judge the capacity that frees up.
- **2 GitHub Actions YAML Files That Let Every Engineer Ship a Ton of Code** (2026-07-20, Max Heckel): https://ariso.ai/blog/ivan-github-actions
  80 pull requests in a two-week sprint, from an open-source agent that runs in GitHub Actions. The two YAML files behind it, in full.
- **Keeping Claude in the Loop** (2026-07-14, Max Heckel): https://ariso.ai/blog/keeping-claude-in-the-loop
  A bug mentioned in a Tuesday meeting became a pull request twenty minutes later. How ari-hooks wires meeting context into Claude Code.
- **The Hardest Thing About Work Isn't the Work** (2026-07-09, Erkang Zheng): https://ariso.ai/blog/the-hardest-thing-about-work-isnt-the-work
  Tell people what you'll do, do it, then tell them you did it. Why the work around the work is the part that actually decides careers.
- **Better learning. Better work. Better people: SciSummary Joins Ariso** (2026-06-22, Erkang Zheng): https://ariso.ai/blog/scisummary-joins-ariso
  SciSummary is joining Ariso. Why a year of building alongside Max made the same future obvious: better context, better follow-through.
- **Standup in the Agentic Age** (2026-06-10, Max Heckel): https://ariso.ai/blog/standup-in-the-agentic-age
  If standup is still a tour of what everyone did yesterday, it's wasted. Ari already knows — standup is the steering layer now, not memory.
- **ChatOps With Context: Wire SigNoz Into Ari in 3 Steps** (2026-05-27, Shawn Zhu): https://ariso.ai/blog/signoz-mcp-the-morning-after
  Wire SigNoz into Ari in three steps, with server-level instructions and per-channel scoping, so ChatOps knows the feature you just shipped.
- **The Trellis Problem: Why Strategy Fails at the Management Layer** (2026-05-17, Paul Rubenstein): https://ariso.ai/blog/the-trellis-problem
  Between 67% and 90% of strategies fail — not on the strategy, but at the management layer. A white paper on why alignment breaks there.
- **The Trillion-Dollar Tax No One Pays: What Team Misalignment Really Costs Your Company** (2026-05-12, Erkang Zheng): https://ariso.ai/blog/trillion-dollar-cost-of-team-misalignment
  Gallup measures it in trillions, Bain in days per week. What team misalignment actually costs, and why nobody books it as a line item.
- **You Have a Notetaker. So Why Are Things Still Falling Through the Cracks?** (2026-04-02, Erkang Zheng): https://ariso.ai/blog/you-have-a-notetaker
  The notes got better; the follow-through didn't. Why AI notetakers fixed capture and left everything after the meeting untouched.
- **The 20-Minute Feature** (2026-02-25, Max Heckel): https://ariso.ai/blog/the-20-minute-feature
  A chat message became a production pull request in twenty minutes. What changes when an agent understands the business context, not just code.
- **Leaders Create Bandwidth. "Bosses" Consume It** (2026-02-21, Chihan Tung): https://ariso.ai/blog/leaders-create-bandwidth-bosses-consume-it
  Good managers generate more bandwidth than they consume. Why that one distinction predicts more than almost anything else about a team.
- **AI as an Operating Partner Can Make You the Hero** (2026-02-05, Joe Aurilia): https://ariso.ai/blog/ai-as-an-operating-partner
  The problem isn't AI coming for your job — it's the endless inflow of pings, requests and context switches. AI works best as an operating partner.
- **How to Deal with a "Vibe Coding" CEO (And Still Keep Everyone Happy)** (2026-02-02, Max Heckel): https://ariso.ai/blog/dealing-with-a-vibe-coding-ceo
  Managing a coding CEO isn't about stopping them from coding. It's about building a padded room where they can do cool karate moves without breaking the furniture.
- **When Markets Move and You Don't: Stuck Isn't Talent, It's Your OS** (2026-01-24, Erkang Zheng): https://ariso.ai/blog/when-markets-move-and-you-dont
  Stuck is rarely a talent problem. Your operating system — cadences, decision hygiene, role clarity — decides throughput, and A-players stall without it.
- **How I automate a founder's QBR and investor updates (without losing the plot)** (2026-01-19, Ari): https://ariso.ai/blog/how-i-automate-a-founders-qbr-and-investor-updates
  There's a specific kind of founder fatigue that hits at quarter-end. I was built to remove that drag without removing the judgment. Here's how Erkang and I run the reporting stack end-to-end.
- **Running Deep-Agent in Production: Lessons from the Trenches** (2025-01-16, Shawn Zhu): https://ariso.ai/blog/running-deep-agent-in-production
  Deep agents aren't like simple chat applications. A single task might make 10-50+ LLM calls, take minutes, and cost $1-10+. Here's what I wish I knew from day one about running them in production.
- **AI Didn't Replace Me** (2025-01-14, Ben Heller): https://ariso.ai/blog/ai-didnt-replace-me
  AI replaced the gap between my role and my potential. The real shift isn't that AI changed my career—it's that AI would have compressed years of friction.
- **Teaching Doesn't Change People; Understanding Does** (2025-01-06, Erkang Zheng): https://ariso.ai/blog/teaching-doesnt-change-people-understanding-does
  Advice lands only once someone sees their own context clearly. Why AI coaching has to start where a great human coach does: understanding.
- **Do This Tiny Year-End Retro If You Want a Raise** (2025-12-30, Chihan Tung): https://ariso.ai/blog/year-end-retro-if-you-want-a-raise
  Busy does not equal value. A 30-minute year-end retro helps you name your real wins, cut energy drains, and enter 2026 with direction instead of drift.
- **Coding While You Sleep: Lessons from Building an AI-Native Engineering Team** (2025-12-23, Max Heckel): https://ariso.ai/blog/coding-while-you-sleep-lessons-from-building-an-ai-native-engineering-team
  Lessons from running an AI-native engineering team: agents won't take your job, but engineers who direct them well will outpace those who don't.
- **Adopting LangChain's Middleware API** (2025-12-16, Shawn Zhu): https://ariso.ai/blog/adopting-langchain-middleware-api
  LangChain's middleware API turns brittle super-tools into composable layers — inject preferences before model calls, orchestrate after tool execution.
- **Secret Messages for LLMs** (2025-12-08, Max Heckel): https://ariso.ai/blog/secret-messages-for-llms
  Hidden context messages keep chats clean while giving the model per-message instructions — a tool-driven workflow engine in very little code.
- **Building Trust in AI Companions: Why Security Comes First** (2025-11-15, Erkang Zheng): https://ariso.ai/blog/building-trust-in-ai-companions
  As AI companions become integral to our daily work, the importance of security and privacy cannot be overstated. Here's how we're building Ari with trust at its core.

## Developer & Agent Resources

Everything an agent or developer needs to work with Ariso programmatically lives at a fixed URL. Developer portal: https://ariso.ai/developers

- **Ari MCP Server** (https://ariso.ai/ari/mcp): Model Context Protocol server exposing Ari as native tools — meetings (summaries, transcript search, agenda items), follow-ups (create/update/resolve/search), reminders (schedule/edit/list/cancel), and a memory super-tool that answers across meetings, decisions, people, and projects. Endpoint: https://mcp.ari.ariso.ai/mcp over Streamable HTTP. Auth is OAuth 2.1 with PKCE and dynamic client registration; scopes are `read` and `write`. Works with Claude Desktop, Claude Code, Claude.ai, and ChatGPT Developer Mode; stdio-only clients bridge with `npx -y mcp-remote https://mcp.ari.ariso.ai/mcp`. Machine-readable descriptor: https://ariso.ai/.well-known/mcp.json
- **OpenAPI specification** (https://ariso.ai/openapi.json, also at https://ariso.ai/.well-known/openapi.json): OpenAPI 3.1 description of the public HTTP endpoints on ariso.ai — `POST /api/v1/contact`, `POST /api/v1/subscribe`, `POST /api/v1/apply`, `GET|POST /api/v1/share-count`, `GET /api/v1/og`. Every operation has a unique operationId, typed parameters, and response schemas. No authentication required. All errors are JSON with a stable `code`, a human-readable `error`, and a `hint`.
- **Versioning & deprecation**: the major version is in the URL path (`/api/v1/`), and every response carries an `Ariso-Api-Version` header. Breaking changes ship as a new major version at a new path alongside the old one; additive changes ship in place. Retired endpoints carry `Deprecation` (RFC 9745) and `Sunset` (RFC 8594) headers with at least six months between them. Nothing is deprecated today.
- **Rate limits**: per client IP, fixed window, per endpoint — form endpoints allow 5–10 requests per 10 minutes, share counts 120. Every response carries `RateLimit-Limit`, `RateLimit-Remaining`, `RateLimit-Reset` (seconds) and `RateLimit-Policy`; a `429` adds `Retry-After`.
- **Markdown content negotiation**: every page on ariso.ai serves a Markdown representation. Send `Accept: text/markdown`, or append `.md` to any URL (e.g. https://ariso.ai/ari.md). Responses set `Content-Type: text/markdown` and `Vary: Accept`.
- **Oats** (https://ariso.ai/oats, https://github.com/ariso-ai/oats): free, open-source, on-device meeting notes for macOS and Windows.
- **Ivan** (https://ariso.ai/ivan, https://github.com/ariso-ai/ivan): open-source AI engineering CLI that ships pull requests; installs from npm.
- **Product documentation**: https://web.ari.ariso.ai/docs
- **Feeds & indexes**: https://ariso.ai/sitemap.xml, https://ariso.ai/rss.xml, https://ariso.ai/llms.txt, https://ariso.ai/llms-full.txt

## Links

- Website: https://ariso.ai
- Meet Ari: https://ariso.ai/ari
- Strategy execution (use case): https://ariso.ai/use-cases/strategy-execution
- Project management (use case): https://ariso.ai/use-cases/projects
- Better managers (use case): https://ariso.ai/use-cases/managers
- Personal work OS (use case): https://ariso.ai/use-cases/work-os
- Oats (open-source meeting notes): https://ariso.ai/oats
- Ivan (open-source AI engineer): https://ariso.ai/ivan
- Ari MCP Server: https://ariso.ai/ari/mcp
- Developers & API: https://ariso.ai/developers
- OpenAPI spec: https://ariso.ai/openapi.json
- Ari Moments: https://ariso.ai/ari/moments
- Field Guide — Build your own chief of staff: https://ariso.ai/guides/build-your-own-chief-of-staff
- Field Guide — Agent briefing template: https://ariso.ai/guides/agent-briefing-template
- Field Guide — Manager-of-one weekly review: https://ariso.ai/guides/manager-of-one-weekly-review
- Field Guide — Org health assessment: https://ariso.ai/guides/org-health-assessment
- Field Guide — TRAM product spec: https://ariso.ai/guides/tram-product-spec
- Blog: https://ariso.ai/blog
- Comparison — Best AI-native project management tools in 2026: https://ariso.ai/blog/best-ai-native-project-management-2026
- About: https://ariso.ai/about
- Team: https://ariso.ai/team
- Careers: https://ariso.ai/careers
- Trust & Security: https://ariso.ai/trust-security
- Contact: https://ariso.ai/contact
- Get Started: https://ariso.ai/signup
- GitHub: https://github.com/ariso-ai
- LinkedIn: https://www.linkedin.com/company/ariso-ai