Operational leverage

Your team is still doing work that shouldn't require a person.

Reporting, follow-ups, status updates, routine approvals — every department, every day. None of it strategic, all of it eating the hours of the people you hired to move the business forward.

Hyperagent puts governed AI agents on that work — so your team focuses on what actually requires human judgment.

The work that keeps getting in the way

Most companies adopted AI. The manual work didn't go away.

You tried ChatGPT, built a few automations — and for a few weeks it felt like progress. Then Monday's report still needed a person. AI without your context can write a draft; it can't run your operations.

Repetitive work lives at every level

Status updates, reports, follow-ups, handoffs — repeating every day across every team, eating hours from the people you hired for decisions, not execution.

Generic AI doesn't know your business

A chatbot can write a summary. It can't pull your pipeline, check your approval rules, and send the right report to the right person. That takes your context.

Operations still depends on people to move information

When a process needs data from three systems and a person to connect them, that's not a workflow — it's overhead. And it grows with every hire and every client.

Agent Operating Model

Delegate routine work without losing judgment.

Move through the cost, the routing model, the agent workflow, and what the team gets back in one connected view.

What it really costs

The real cost isn't the hours. It's what those hours could have been.

20%of your week on high-value decisions

Today most of the week goes to manual execution — reports, follow-ups, approvals.

DecisionsManual tasksHandled by agents
Where Hyperagent operates

The same agent, briefed for every department.

One pattern — an agent assembles the work and surfaces what needs a person. Here's what it delivers, team by team.

Operational reporting without the manual work

Daily status, updates, and process tracking — compiled and delivered to the right people, automatically.

Operations · agent briefing
Monday ops briefing
  • Pipeline, delivery & open items pulled from 3 systems
  • Formatted and sent to ops leadership
  • Built by an agent — no one assembled it
CRMDeliveryOpen items
Agent in action

Meet Julieta — a CMO agent, deployed.

A real CMO agent running on Hyperagent — Julieta runs marketing across your stack, escalating to a person only when there's a real decision to make.

Content & social
Drafts copy, owns the editorial calendar, and schedules posts on-brand.
Reporting & analytics
Consolidates KPIs and assembles campaign reports ready to review.
Campaigns & leads
Runs campaigns and nurture sequences, with briefs and follow-through.
Julieta · CMO Agent
A live look at Julieta operating as a marketing agent on Hyperagent.
Proof

The leverage problem — already solved for real operators.

The coordination overhead Hyperagent removes is the same overhead Singular has already engineered away for clients. The numbers are theirs.

5x

less operational workload

100x ROI

through process automation

Invercorp

Key Account Managers were coordinating portfolios across spreadsheets, CRM, and email — missed follow-ups, no visibility. A connected system removed the manual coordination layer.

40% Less Stockouts
Globales

An AI-powered CRM that triggers procurement automatically — sales and inventory connected, no person in between.

Unified Operations
Pioneering Collective

Fragmented tools and manual follow-ups replaced by one system with automated follow-ups and real oversight.

How it fits together

Hyperagent works on top of what your company already knows.

Agents are only as useful as the context they operate with. Hyperagent connects to your Company Brain — the governed layer built from your data, rules, and business context.

Your operational data

Airtable, CRMs, databases, spreadsheets — your live business data.

Company Brain / Wiki

Governed knowledge, business rules, permissions, institutional context.

Explore Company Brain

HyperagentYou are here

Agents that consume the brain to execute work, answer questions, and trigger workflows.

Your team

Focused on decisions, clients, and strategy.

Each layer feeds the one below it.

Hyperagent can connect to Wiki, Airtable, Supabase, or any knowledge layer you've built. The value is the architecture — a governed brain agents can act on with confidence.

Wiki gives your agents the context they need. Hyperagent puts that context to work.

See the Wiki layer
Why it's different

This isn't automation. It's a different kind of work.

Automation runs a rule you set in advance. Hyperagent responds to a situation with your full context — and knows when to hand it to a person.

Fixed automation — breaks at the exception
RuleStepStep dead end

Hit an exception it wasn't programmed for, and it stops — or fires incorrectly.

Agent — adapts, then escalates
ContextAdapts escalates

Meets the exception with your full context, then hands it to the right person to decide.

Traditional automationHyperagent
What triggers itA defined rule or scheduleA question, a context, a situation
What it knowsOnly what it was programmed withYour full company context
At exceptionsFails or fires incorrectlyEscalates with full context
Who can work with itEngineers who built the ruleAnyone on the team
What it producesAn output defined in advanceA response fit to the situation
How it improvesReprogrammed manuallyLearns from updated company context
Trust & control

Governed by your rules. Owned by your business.

Agents work within defined limits

Every agent works inside the permissions and rules you set. It handles what it's authorized to, and escalates what it isn't — no decision outside its scope without a human.

Full visibility into what agents do

Every action is logged and reviewable. You know what ran, when, what it accessed, and what it produced. No black box — an operational layer you can audit.

Not a replacement for your team

Hyperagent carries the coordination and execution overhead. It doesn't replace judgment or relationships. Your team doesn't shrink — it realigns toward what matters.

Your defined limits
Agent operates within scope
out of scope
Escalated to a person
Decides with full context
Audit log
Pulled pipeline data · CRM
Assembled ops briefing · sent
Flagged request over threshold · escalated

Give your team leverage, not more to manage.

The manual coordination layer of your business can run on agents — so your team focuses on the work that actually requires them. We'll show you where to start in 30 minutes.

Your people were hired to move the business forward. Let the agents handle the rest.