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Deploy MCP-powered AI agents to run your GTM operations

Most companies bolt AI onto their GTM stack. We embed it into your operating model. Buy, rent, or build your own custom agent team for RevOps, Business Intelligence, GTM Strategy, and more.

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Use the latest technologies to
power your GTM

Deploy MCP-powered agents that run RevOps workflows, automate GTM execution, and generate revenue intelligence — faster than hiring.
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Buy

Buy pre-built agents (fast deployment) for immediate impact.

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Hire

Hire an agentic team managed by ARISE for a specific job or project.

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Build

Build custom agents for your stack + workflows across the revenue org.

Not ChatGPT prompts. Not AI strategy decks. Not generic automation.

This is:

  • MCP-based agent architecture
  • Custom tools + permissions
  • Workflow execution inside your systems
  • Measurable outcomes
  • Connected to your MCP-enabled tools

Browse our Agent catalogue

Our agents can typically be deployed in 5-7 days, depending on availability.

Agents are a subscription purchase.
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RevOps Agent

Built for HubSpot. Supports incumbent teams with rapid-build and execution. Over 70 functions available and growing.

Deploy: 5-7 Days

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HubSpot Onboarding Agent

Built for small teams, onboarding HubSpot. A scaled-back version of the RevOps agent to get you up and running.

Deploy: 5-7 Days

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GTM Strategy Agent

Trained on the ARISE GTM Methodology.  This agent is fully trained in PLG + ABM strategy, lifecycle marketing, and MEDDIC/MEDDPICC.

Deploy: 5-7 Days

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BI & Insight Agent

Your Business Intelligence Partner.  This Agent uses Databox to create advanced Dashboards and Insights for RevOps and Execs.

Deploy: 5-7 Days

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Customer.io Lifecycle Agent

Trained on the ARISE GTM Methodology.  This agent is fully trained in PLG, lifecycle marketing, and building in Customer.io.

Deploy: 5-7 Days

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Custom Agent Builder

From HubSpot's Breeze AI agents to SEMRush MCP agents, our team can build whatever you need.

Deploy: 15-30 Days

Knit your GTM together at scale with MCP server connections

We use custom AI Agents with the MCP server connection to access multi-system datasets and analyse them against your current GTM performance to course correct.

MCP: The Cross-System Intelligence Enabler

Your agents need access to systems, data, and permissions. MCP is the secure orchestration layer that makes them usable inside real businesses.
What it enables:
  • tool calling
  • controlled permissions
  • auditability
  • modular agent expansion
  • integration with HubSpot / DBs / APIs

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How ARISE GTM Uses MCP:

We connect to HubSpot's official MCP server, which means:

  • No custom API integration needed
  • No rate limit workarounds
  • No authentication complexity
  • Direct access to CRM objects, properties, and associations

We build custom prompts and queries that:

  • Synthesise data across contacts, companies, deals, and custom objects
  • Pull cross-system context (Customer.io engagement + HubSpot pipeline + competitive intel)
  • Surface insights that only exist when you connect the dots between systems

Why This Matters:

Better customer understanding → higher win rates. Faster data synthesis → shorter deal cycles. Cross-system intelligence → expansion opportunities no one else sees.

MCP isn't just a technical implementation. It's a competitive moat.

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Outcomes you get

  • Reduce manual RevOps workload by 30–60%
  • Faster HubSpot onboarding delivery
  • Auto-generated pipeline risk reporting
  • Automated lifecycle campaign builds
  • Competitive insights refreshed weekly
  • Deal desk automation
  • Forecast anomaly detection

Want the full AI-optimised GTM engine? ARISE OS is the pre-engineered operating system these agents plug into.

Built for Product Marketing, Sales and CS teams to get the most out of the go-to-market motion. For creatives who want data-driven support and techies who want to enable their creative counterparts.

This Is Why You Choose ARISE GTM

You don't need another AI tool subscription. You want a partner who has already done the work.

What Makes ARISE GTM Different:

How does this benefit my Revenue Team

As a CRO or VP of Revenue, you're being asked to forecast accurately while competitors a

We build on HubSpot Professional

You don't always need Enterprise HubSpot to get AI-enabled GTM. Some of our architecture works on the Professional tier, saving you up to £20,000+ per year while delivering enterprise-grade capability.

We embed intelligence, we don't bolt it on

AI features fade when vendors change roadmaps. Intelligent objects persist because they're built into your data model, not dependent on someone else's platform.

We use open standards (MCP)

Our custom AI agents connect via Model Context Protocol, the emerging standard for AI-to-system communication. 

We manage costs, not just capabilities

Token budgets, workflow optimisation, and ROI transparency. You know what AI costs and what it produces, month one, month twelve, and beyond.

We've done this before

We deploy AI GTM systems for B2B technology companies on HubSpot. We know where AI adds value and where it wastes money. We know which workflows produce ROI and which ones look impressive in demos but fail in production.

You get an operating system, not a project

ARISE OS isn't a six-month implementation that goes stale. It's a living system that evolves with your GTM motion. New objects, new workflows, new intelligence, as your business changes.

Frequently Asked Questions

How is this different from HubSpot's AI features or other AI tools?

HubSpot's Breeze AI and other tools provide suggestions and content assistance. ARISE OS embeds AI into custom objects that execute workflows autonomously. The difference: features suggest, objects execute.

Do I need HubSpot Enterprise for this?

In some part, yes. ARISE OS works on HubSpot Professional. We use a sophisticated workflow architecture and MCP connections that operate within Professional-tier capabilities; however, custom objects require at least one enterprise seat.

What's Model Context Protocol (MCP) and why does it matter?

MCP is an open standard (developed by Anthropic, adopted by HubSpot) that enables AI workflows to access data across systems through a standardised interface. It eliminates custom integrations, reduces complexity, and enables cross-system intelligence that creates a competitive advantage.

How do you control AI costs?

Every AI workflow calculates token consumption. We set budgets at the workflow level, prioritise high-value use cases, implement caching and batch processing, and provide monthly reporting showing cost per outcome and ROI by workflow type.

Can you integrate with systems beyond HubSpot and Customer.io?

Yes. MCP enables connections to any system with an MCP server (growing list) or standard APIs. Common integrations: Salesforce, Apollo.io, LinkedIn Sales Navigator, Gong, Outreach, Salesloft and SEMRush.

How long until we see results?

AI-powered competitive intelligence is active by week 2. AI Prospecting Layer operational by week 4. Full intelligent object execution by week 6. Performance optimisation is ongoing from month 2 forward.

What if our GTM strategy isn't documented?

We help you build it. Part of our deployment process includes GTM Strategy workshops that codify your positioning, messaging, value props, and persona communication into executable Strategy objects.

Do we need technical resources to manage this?

No. ARISE OS runs on HubSpot workflows you control. We provide training, documentation, and ongoing optimisation. Your team operates the system, we ensure it stays intelligent. An annual support contract is required.

How do you ensure data security with MCP connections?

All MCP connections use OAuth 2.0 authentication, encrypted data transmission (TLS 1.3), and scoped permissions (you control what data each workflow can access). We're SOC-2 compliant and maintain enterprise-grade security across all implementations.

What happens when HubSpot or OpenAI changes their platforms?

We monitor platform changes and proactively update workflows. Because we use open standards (MCP) and a modular architecture, platform changes rarely require rebuilding; only configuration updates are needed. This is why you will need an annual support contract.