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Agentic AI for RevOps: Your Autonomous GTM Execution Team

Deploy AI-powered RevOps specialists that automate HubSpot, Lifecycle, Business Intelligence, Social Media and workflows, generate pipeline intelligence, and execute GTM strategy faster than building an internal team.

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Use the latest technologies to
power your GTM

Deploy custom AI-powered agents that run RevOps workflows, automate GTM execution, and generate revenue intelligence.
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Subscribe

Pre-built agents (fast deployment) for immediate impact.

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Short-Term Hire

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

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Custom Build

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

GTM Strategy Agent
ARISE GTM · Agentic RevOps
Your Agentic GTM Assistant

Autonomous intelligence for revenue operations, pipeline strategy, and GTM execution.

Can you help me with my GTM Strategy?
Can you help me with my lifecycle marketing strategy?
Can you help me with a RevOps build?
Can you help me with a combined PLG and lifecycle strategy?

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 as little as 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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Events Agent

Built for events teams on HubSpot. A fully fledged AI-powered agent and app solution for teams with an enterprise license.

Deploy: 14-21 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

Multiple Bots

Content Marketing Squad

For marketers. This squad has a content agent as well as YouTube, LinkedIn, Instagram and TikTok agents.

Deploy: 15-30 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

Simple, transparent pricing

Choose the right engagement for your stage

Step 1

GTM Blueprint

Build your roadmap before you build your agents.

One-time investment

£12,500

50% Credited toward your first 3 months if you continue.

What's included

  • Full GTM audit across positioning, ICP, and funnel
  • AI use-case prioritisation matrix (impact vs complexity)
  • Agent architecture plan (HubSpot + Customer.io + n8n + MCP connections)
  • Data model design + required properties/custom objects
  • Security permissions map
  • KPI model + ROI projection (time saved + pipeline impact)
  • 90-day deployment roadmap
  • Output: A build-ready plan that scopes exactly what you need and what it will deliver.

AI GTM OS Starter

Teams with 1–2 GTM tools automating core RevOps and reporting workflows.

Monthly Retainer

£5,000/mo

3-month minimum. Billed monthly in advance.

What's included

  • RevOps Support Agent (HubSpot)
  • Business Intelligence Agent (Databox)
  • ARISE GTM Strategy Agent
  • Up to 2 systems connected
  • Monthly workflow optimisations
  • 48-hour response times
  • Quarterly strategy reviews
  • Best for: Teams with 1–2 GTM tools automating core RevOps and reporting workflows.
Scaling Teams

Scale Retainer

Multi-brand, multi-region, or highly regulated businesses requiring custom agents and advanced governance.

Monthly Retainer

£25,000/mo

6-month minimum. Billed monthly in advance.

Everything in Growth, plus

  • All Growth agents +
  • Custom agent builds
  • Multi-brand rollout support
  • Advanced compliance & governance
  • Multi-region deployment
  • Unlimited systems connected
  • Continuous deployment pipeline
  • 12-hour response times
  • Dedicated AI Ops team
  • Weekly optimisation + experimentation cycles
  • Custom training + agent expansion
Custom

Enterprise

For complex organisations, multi-BU deployments, or bespoke engagements. Fully scoped around your specific situation.

Starting from

Let's Talk

Custom SLA, team embed, and flexible billing terms.

Completely bespoke service

  • A fully customised Agentic Solution for your growth model
All engagements begin with the GTM Blueprint. Prices shown exclude VAT. Speak to Paul directly →

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.

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

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.

Frequently Asked Questions

Work with a partner who has already done the work.

What is an agentic AI team?

An agentic AI team is a set of autonomous AI agents designed to run specific GTM workflows, like pipeline management, lifecycle execution, competitive monitoring, and reporting, without manual intervention.

Each agent has a defined role, access to the right systems, and the ability to take action based on live data. Together, they operate like a digital GTM team working inside your stack.

What do I actually get when I buy an ARISE agent?

You get a production-grade AI agent, not a prompt or a chatbot.
Each ARISE agent is configured with:

  • a defined job to perform
  • access to your systems and data
  • logic for when and how to act
  • guardrails, monitoring, and reporting

Agents are deployed directly into tools like HubSpot, Customer.io, SEMrush, Databox, and orchestrated through n8n.

What’s the difference between Buy, Hire, and Build?

  • Buy: You use pre-built ARISE agents that solve common GTM problems fast.
  • Hire: We deploy and configure agents specifically for your workflows and tools.
  • Build: We design and deploy a full agentic GTM system tailored to your data model, teams, and operating cadence.

Each tier increases depth, customisation, and long-term leverage.

Do we own the agents, and can we bring this in-house later?

Yes. You own the agent configurations, workflows, and data connections.
We design everything so it can be handed over to an internal team if and when you’re ready. Many clients start with ARISE managing the system, then transition to a hybrid or fully in-house model over time.

How does pricing work?

Pricing is based on scope and operational complexity, not hours.
Factors include:

  • number of agents
  • systems integrated
  • data sources involved
  • level of governance and support

Blueprints and deployments are fixed-fee.
The AI GTM Operating System is a monthly subscription, starting from £5k, scaling based on usage and requirements.

How does MCP work (in simple terms)?

MCP (Model Context Protocol) is how AI agents safely connect to your tools and data.
Think of it as a secure translator and permission layer that lets agents understand your systems, read the right information, and take approved actions — without exposing raw credentials or unrestricted access.

Can these agents take action inside HubSpot and our systems?

Yes. These agents are designed to take real action, not just generate suggestions.
That includes updating records, triggering workflows, sending lifecycle messages, creating tasks, flagging risks, and producing reports — all within the permissions you define.

How long does deployment take, and what do you need from us?

Most deployments take 6–12 weeks, depending on scope.
From you, we typically need:

  • system access (read/write as agreed)
  • a clear GTM owner
  • alignment on priorities and success metrics

We handle architecture, configuration, testing, and launch.

Is this secure, and how do you manage access + permissions?

Security is built in from day one.
Agents operate with role-based access, limited to what they need to do their job. We implement permission mapping, audit logs, and governance controls, with additional hardening available for regulated or enterprise environments.

Can you build custom agents for our workflows and data sources?

Yes. Custom agents are a core part of the offer.
We routinely build agents tailored to:

  • proprietary workflows
  • custom objects and schemas
  • internal data sources
  • third-party tools and APIs

If your GTM process is unique, the agents will be too.