The enterprise agent integrator
It's the map of how your company actually runs. That map only exists if you build it. Plainsight maps every workflow your team does — humans.ai composes the agents the map calls for, ships them into your tools, and runs them in production.
Inbound deal flow
deals@westmore.com · Gmail + Outlook
Pitch · update · noise
Claude Haiku 4.5 · Anthropic
Company · sector · round size
Claude Haiku 4.5 · Anthropic
Funding history + signals
Browserbase · headless web
Portfolio overlap + conflicts
Snowflake · Westmore book
Founder track record
OpenAI deep research
Similar prior deals + IC memos
Pinecone · Voyage-3 embeddings
Compliance + sanctions
Llama 3.3 70B · NVIDIA NIM
IC pre-memo · 1 page
Claude Opus 4.7 · Anthropic
First-call invite
Calendly · sector-partner cal
Deal record + enrichment
Salesforce · Westmore Deal obj
Cross-check memo claims
Claude Haiku 4.5 · Anthropic
Route to sector partner
Slack DM + Notion deal room
Plays nicely with every tool your team already opens
99+ integrations · MCP-first · custom wrappers built in days, not quarters
The thesis
“Most enterprises trying to adopt AI fail in the gap between ‘we picked a use case’ and ‘an agent is doing it in production.’”
That gap is not a model problem. It's a discovery problem, an integration problem, and a trust problem stacked on top of each other. humans.ai is the team that absorbs all three.
The type of work we do
Plainsight interviews every person on your team — twenty minutes each, on their phone, on their schedule. By the end of the week you have a live operational twin of the company: every workflow, every tool, every handoff, every piece of knowledge that lives in one person's head.
The map produces a blueprint — the three highest-value agents to build first, ranked by hours recovered and trust budget. We compose each one from the right model, the right voice, the right integration, on the right infrastructure. Sonnet for the deck polish, Opus for partner voice, Llama 3.3 on NVIDIA NIM for the high-volume classifier.
Live in your existing tools — Gmail, Notion, SharePoint, Salesforce, QuickBooks, the things your team already opens every day. Continuous LLM-as-judge audits. Quarterly Plainsight refresh. Model upgrades when the foundation layer ships a better version. Your team gets the output. We operate the stack.
Building enterprise super intelligence
Agents
Claude, GPT, Gemini, Mistral, Llama — picked per node. Voice on ElevenLabs and Cartesia. Embeddings and high-volume inference on NVIDIA NIM. We're foundation-agnostic by design; we pick the best tool for each task and swap when something better ships.
ClaudeOpenAINIM
ElevenLabsContext
Plainsight audits produce the templates. Every agent humans.ai builds starts from a real workflow we watched a real person do. No imagined use cases. No off-the-shelf playbooks. The map is the source of truth, and it gets refreshed every quarter.
Voice interviewsMCP contextInterfaces
No new dashboard to learn. Drafts appear in Gmail. Reports land in Notion. Reconciliations notify in Slack. Decks save back to SharePoint. The work flows through the surfaces your team already lives in — humans.ai composes the rails, your people stay in their tools.
Gmail
Microsoft 365Slack
NotionSalesforceGovernance
LLM-as-judge audits every production action at meaningful sample rates. Human approval gates on every outbound message for the first 90 days. Per-agent kill switches. Full audit log of every decision, every input, every output. SOC 2 evidence on day one.
Tracing
Evals
Observability100+ foundation, voice, memory, retrieval, and observability partners · 1,000+ MCP integrations · custom MCP wrappers for internal systems ship in 1–2 days.
Explore StudioThe platformAcompany
Plainsight maps your company. humans.ai builds the agents the map calls for and runs them as living systems. One team. One contract. Discovery to production to ongoing operation.
Deployed in the real world
“Plainsight gave us the first honest map of how our firm actually runs. humans.ai shipped our first agent six weeks later. The Friday afternoon ritual that ate the analyst team is now a 30-minute review queue.”
Sarah Chen
Partner · Westmore Partners
“We've evaluated every AI agent platform on the market. humans.ai is the only one that starts with discovery instead of trying to sell us a building block. That ordering changes the outcome.”
Operations Director
Confidential — regional health system · Northeast US · 1,400 staff
“I spent five hours every Friday rebuilding partner decks. humans.ai watched me do it for one week, then built an agent that does it in under a minute. I got my evenings back.”
Maya Patel
Senior Analyst · Westmore Partners
“The audit week paid for itself. By month three we'd recovered fourteen FTE-weeks. By month six we'd shipped three agents and the partner-billed-hours problem was solved without anyone learning a new tool.”
CFO
Confidential — mid-market logistics · Southwest US · 500 staff
Some customer names withheld at their request. Operating metrics are real, drawn from production deployments. We'll happily put you on a reference call with two or three of the named customers once you're past the discovery conversation.
What you get
Each of these is a real map of a real company. Names changed. Findings real. Click in and read the full output.
“Three weekend-shaped reconciliations are quietly running the firm.”
“Four teams are running the same workflow and don't know about each other.”
“The warehouse floor and the ERP are two different companies.”
“The CEO is functionally running customer success and doesn't know it.”
Each map was built from real voice interviews with real teams. The names are changed. Everything else is exactly what we found.
Our philosophy
Enterprise super intelligence requires a platform built to learn through execution — and the deployment rigor to put it inside real workflows. At humans.ai, both compound. Every deployment makes the system smarter than the last.
Relevant solutions meet the enterprise where it is — fully custom, differentiated agents built on top of whatever systems you're already using today. We don't sell a product. We compose the right system for your operation.
Real workflows are messy, exception-ridden, and partly tacit. We build for that reality — capturing the granular logic and the unspoken handoffs that off-the-shelf agents trip over inside the first week.
The best model for each step, not a single vendor relationship. Claude for nuanced reasoning, Llama 3.3 on NIM for high-volume classification, ElevenLabs for voice, Mistral for cheap continuous judge. Swap freely as the foundation layer evolves.
Every audit makes the next agent sharper. Every agent's output trains the next audit. The platform learns through execution — what runs in production becomes the dataset for what we build next.
The Team
We started Plainsight because we kept watching companies — including our own — spend millions trying to automate things nobody had ever properly mapped.
The automations would ship and fail to change anything, because the underlying problem was never what people thought it was.
The bottleneck wasn't the building. It was the seeing. So we built the seeing.
Every company in the next three years is going to be partly operated by AI agents. The companies that map themselves first are going to build better agents than the ones that don't. Plainsight is the mapping layer.
What you build on top is up to you — we can help with the first few agents, or you can take the blueprint to whoever you already trust. Either way, the map is yours.
How we think about thisAdd your team. Interviews start this week. You watch the map build in real time.
First team is free. No call, no demo, no credit card.
