Intelligility Agents

Software used to wait.
Now it can work.

Agents are the part of this shift most people underestimate. Not a chat window — software that performs a task, checks itself, and knows when to bring in a person.

An agent is a system, not a prompt.

The demo version of an agent is easy. The version that runs every day against your actual data, inside your actual constraints, is engineering.

What makes the difference is grounding, tool design, evaluation and escalation: how the agent gets reliable context, what it is allowed to do, how you know it worked, and what happens when it shouldn't have tried.

We build agents the same way we build products — scoped narrowly, measured honestly, and expanded only once they earn it.

What this looks like

01

Grounding

Connected to your documentation, data and systems so answers come from your reality, not a general one.

02

Tools

Explicit, permissioned actions. An agent should only be able to do things you decided it could do.

03

Evaluation

A scored test set for the tasks that matter, run before any change reaches production.

04

Handoff

Clear rules for when to stop, summarize and give control back to a human being.

05

Observability

Every run logged with its reasoning and cost, so you can audit what happened and why.

06

Ownership

Built to be operated by your team, documented well enough that we're not a dependency.

Agent library

Starting points we adapt to a specific business rather than sell as one-size software.

RELive

Research Agent

Gathers, cross-checks and cites sources on a topic, then hands back a brief a human can defend in a meeting.

ResearchDiscuss a build
SELive

SEO Agent

Audits a site, finds the pages worth fixing and drafts the changes with the reasoning attached.

MarketingDiscuss a build
SABeta

Sales Agent

Qualifies inbound, drafts replies in your voice and keeps the CRM honest without inventing pipeline.

RevenueDiscuss a build
SUBeta

Support Agent

Answers from your documentation, escalates when it isn't sure, and logs the gaps it found.

ServiceDiscuss a build
OPIn development

Ops Agent

Watches recurring workflows, files the routine work and flags the exceptions that need a person.

OperationsDiscuss a build
ANIn development

Analyst Agent

Sits on top of your data and answers the question behind the question, with the query it ran.

IntelligenceDiscuss a build

What work should
stop being manual?

Pick one recurring task that eats real hours every week. That's almost always the right first agent.