Inside the build of RevvedAgents

HubXpert built a revenue operations agent platform for HubSpot. Fourteen agents that work inside a live portal, rescuing stalling deals, scoring leads and cleaning the data behind the forecast, with every write held for human approval before it reaches the CRM. Built with Amped Pipeline and Market Vantage.
30e502b130c038a22b69ba2713b0d87307f8f726

14

Agents shipped

4

Agent modes

0

Writes to a CRM without human approval

AN AI AGENT PLATFORM FOR REVENUE OPERATIONS

About the product

RevvedAgents is an AI agent platform for HubSpot, built by HubXpert with Amped Pipeline and Market Vantage. Fourteen agents run against a connected portal across four modes: Autopilot agents that watch the pipeline daily, Audit and Cleanup agents that find what is quietly breaking reports, a Creative agent that drafts brand-aware landing pages, and a no-code builder for the agent that has not been shipped yet.

The product came out of delivery work rather than a product plan. Between HubXpert, Amped Pipeline and Market Vantage, the same problems appear in almost every portal: duplicate records nobody has time to merge, workflows still firing for a sales process that changed two years ago, deals that go quiet and are noticed a month late. Solving those by hand is what RevOps consultants spend their weeks doing.

The question behind the build was whether that work could be productized without asking anyone to trust an AI model with write access to their CRM. That constraint shaped the architecture more than any feature did.

What You Will Learn:

  • 1 How to design an AI agent that acts inside a live CRM without removing human control
  • 2 Why an approval layer is an architecture decision rather than a setting
  • 3 How a services company turns repeated delivery work into a product
THE PROBLEMS THE PRODUCT HAD TO SOLVE

The Challenges

The hard part was never generating a recommendation. Models do that easily. The hard part was building something a RevOps team would actually connect to the portal their forecast depends on, and that meant every design decision had to answer an objection first.

  1. 1

    Nobody trusts AI with write access to a CRM.

    The moment a model can merge records or send email from a live portal, the risk stops being theoretical. That objection kills most AI CRM tools before a feature list matters, so it had to be answered in the architecture rather than in the pitch.

  2. 2

    Data quality degrades invisibly.

    Duplicates, drifted properties and dead workflows accumulate in every portal that has been running for a few years. Nothing surfaces them, because nothing is watching, and a manual audit is weeks of work nobody can bill for.

  3. 3

    Deals go quiet and get noticed late.

    A deal that slips past its close date with no next step is a known pattern and an avoidable loss. Spotting it depends on someone reviewing the pipeline at the right moment, which is exactly what gets skipped in a busy week.

  4. 4

    Agencies work across many portals, tools assume one.

    A partner running a dozen client portals ends up copying the same automation into each one by hand. Nothing in the market treated multiple portals as the normal case rather than an edge case.

  5. 5

    HubSpot AI features are gated behind Enterprise.

    Most AI capability in the ecosystem requires the top tier, which excludes the Starter and Professional customers who need the help most and have the least operations headcount.

  6. 6

    Teams do not want to be locked to one model.

    Procurement rules, existing vendor positions and internal AI policies all constrain which providers a company can use. A platform that hard-codes one provider is unusable for a meaningful share of buyers.

“Every portal I walk into has the same thing underneath it. Contacts from four different sources going back years, workflows nobody has opened since the person who built them left, and no one whose actual job it is to look. Teams are not ignoring it because they do not care. They are ignoring it because auditing it by hand is two weeks of work nobody can bill for.”
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Galen D. Amped Pipeline
BUILT TO ACT, BUILT TO WAIT

What we built

Agents read the portal, decide what matters, and hand the work back. The person stays the last step before anything changes. That sequence is the product rather than a feature inside it, and the rest of the platform is built around it.

  1. 1

    An approval inbox, not an approval setting.

    Every write an agent proposes, including merges, property updates, emails and tasks, queues for review. The user sees the reasoning, can edit the payload, and approves or rejects in one click. Read-only actions can be auto-approved.

  2. 2

    Fourteen agents across four modes

    Autopilot handles the pipeline work of deal risk, lead scoring and gap detection. Audit and Cleanup runs six deep scans for duplicates, dead workflows and bad data. Creative drafts landing pages. Build Your Own covers what is not shipped yet.

  3. 3

    Event-driven autopilot.

    Stage changes and new contacts trigger agents automatically rather than waiting for someone to run a report. Work arrives before anyone thinks to go looking for it, which is the difference between catching a stalling deal and reviewing it afterwards.

  4. 4

    A no-code agent builder.

    Rather than every new use case waiting on a release, users configure their own agents against the same approval architecture. It removes the roadmap as a bottleneck for anything the platform has not anticipated.

  5. 5

    Multiple portals as the default case.

    Portals can be grouped, one agent can be broadcast across all of them, and a white-label report can be published per client. This is the layer that makes the platform usable by an agency rather than only by a single company.

  6. 6

    Every HubSpot tier, same feature set.

    The platform connects through OAuth in about a minute with nothing installed inside the portal, and works identically on Free, Starter, Professional and Enterprise. Capability is not gated by what the customer pays HubSpot.

  7. 7

    Bring your own model.

    Teams supply their own model key rather than inheriting whichever provider the platform chose. That keeps the product usable for buyers with an existing vendor position or a procurement constraint on AI providers.

  8. 8

    Reports built to be sent.

    Findings carry a health score, recommendations and charts, and export as a shareable report. An audit that cannot be forwarded to the person approving the budget does not get acted on.

“The approval inbox is why I would point this at a portal that matters. I have seen tools that promise to clean a database and I would not run one against a client without watching it. This one shows you the list, tells you why each record is on it, and then waits for someone to say yes. That is the difference between a tool I would use and a tool I would recommend.”
Galen D. AMPED PIPELINE
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ARCHITECTURE FIRST, AGENTS SECOND

How We Got There

The approval model was designed before any agent was written, because retrofitting a human control layer onto an autonomous system does not work. Everything else was built on top of that decision.

Phase 1

Problem definition

Identified the delivery work that repeats across every portal and decided which of it could be productized.

Phase 2

Approval architecture

Designed the human-in-the-loop model first, including the approval queue, the reasoning display, payload editing and the audit log.

Phase 3

HubSpot integration layer

Built OAuth connection with least-privilege scopes, and the read and write paths against the HubSpot API.

Phase 4

Agent development

Built the 14 agents across the four modes, each with its own scope, triggers and output format.

Phase 5

Multi-portal and reporting

Built portal groups, cross-portal broadcast, white-label reporting and scheduled client digests.

Phase 6

Validation and Launch

Tested the platform on HubXpert's portal and launched self-serve signup and onboarding at revvedagents.ai.

WHATS SHIPPED

The Outcomes

RevvedAgents is live and self-serve. The outcomes below are properties of the product rather than claimed results, which is the appropriate standard for a development case study and the standard this page holds itself to.

14

Agents shipped

4

Agent modes

0

Writes to a CRM without human approval

Fourteen agents shipped across four modes Autopilot, Audit and Cleanup, Creative and a no-code builder, each running against a connected portal through the same approval architecture.

No agent writes to a CRM unsupervised. Every merge, update, email and task queues for a person to review, with the reasoning visible and the payload editable before approval.

The platform runs on every HubSpot tier. Free through Enterprise with the same feature set, connected through OAuth with nothing installed inside the portal.

Agencies can run one agent across many portals. Portal groups, cross-portal broadcast and per-client white-label reporting, rather than rebuilding the same automation in each portal.

The product is model-agnostic. Teams supply their own model key, so an AI procurement policy is a configuration question rather than a reason not to buy.

It was validated on our own portal first. The first live CRM the agents ran against was HubXpert's, which is the only environment where the cost of the product being wrong was ours.

Before

Manual
  • Duplicate cleanup done by hand, one record at a time
  • Workflow audits that never reach the top of the list
  • Stalling deals noticed weeks late
  • The same automation rebuilt in every client portal
  • AI capability gated behind HubSpot Enterprise
  • One model provider, take it or leave it

After

Automatic
  • Duplicates flagged across the database and merged in bulk
  • Six audit agents scanning on a schedule
  • Deal risk surfaced by event-driven autopilot agents
  • One agent broadcast across a portal group
  • Same feature set on Free through Enterprise
  • Bring your own model key
WHAT PEOPLE ASK ABOUT THE BUILD

Frequently asked questions

  • No. Every write an agent proposes, including merges, property updates, emails and tasks, queues in an approval inbox first. The reasoning is visible, the payload is editable, and read-only actions can be auto-approved.

  • Because a human control layer cannot be retrofitted onto an autonomous system convincingly. Deciding first that nothing writes without approval set the shape of every agent built afterwards.

  • Free, Starter, Professional and Enterprise, with the same feature set. Connection is through HubSpot OAuth, so nothing is installed inside the portal.

  • Yes. Portals can be grouped, one agent can be broadcast across the group, and a separate white-label report can be published for each client.

  • Duplicate contacts and companies, property inconsistencies, broken or redundant workflows, deal pipeline gaps and communication readiness issues, among others.

  • It gets caught in the approval queue before it ever touches the CRM. Every proposed write shows its reasoning and a fully editable payload, so a wrong suggestion gets corrected or rejected outright, and nothing an agent gets wrong reaches HubSpot silently.

  • HubXpert, with Amped Pipeline and Market Vantage. It came out of delivery work the three had been doing by hand across client portals for years.

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