Deploy MCP-powered AI agents to run your GTM operations

ARISE GTM provides agentic AI for revenue teams. 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 n8n and MCP-powered agents that run RevOps workflows, automate GTM execution, and generate revenue intelligence — faster than hiring.

Buy

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

Hire

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

Build

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

Browse our Agent catalogue

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

Agents are a subscription purchase.

RevOps Agent

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

Deploy: 5-7 Days

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

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

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

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

Custom Agent Builder

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

Deploy: 15-30 Days

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

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.

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

Select a plan

Most clients choose Deployment or AI GTM OS because this replaces 1–3 FTE worth of GTM
execution while improving pipeline quality.

Agentic GTM Blueprint from

£25k (2–4 weeks)

Define the architecture + ROI model

Agentic GTM Blueprint from

HubSpot or/and Customer.io

GTM workflow audit (RevOps, lifecycle, outbound, reporting)

AI use-case prioritisation matrix (impact vs complexity)

Agent architecture plan (HubSpot + Customer.io + SEMrush + Databox + n8n)

Data model + required properties/custom objects

MCP/n8n integration blueprint + security permissions map

KPI model + ROI projection (time saved + pipeline impact)

90-day deployment roadmap

Output: A build-ready plan you can scope into a fixed implementation.

Deploy Agentic GTM from

£85k (8–14 weeks)

Build and launch the agents across your stack

Deploy Agentic GTM from

Execution inside HubSpot + lifecycle tools

Has RevOps capacity but no AI engineering capability

Agent: RevOps Support HubSpot

Agent: Business Intelligence & Insights

Agent: ARISE GTM Strategy Agent

Agent: Lifecycle & Customer.io

Agent: SEMRush SEO/AEO

Agent: Custom*

n8n: Orchestration, routing, logic

Included as standard in Deployment:

Data enrichment + intent ingestion

Custom RAG knowledge base build

Agent testing + QA

Basic monitoring + logging

Basic governance & permissions mapping

Output: A live, production-grade agentic GTM system delivering automation leverage across your revenue operations.

AI GTM OS (Managed) from

£5k/per month

Run, optimise, and expand continuously

AI GTM OS (Managed) from

AI GTM OS Starter* – from £5k/mo

AI GTM OS Growth* – from £12k/mo

AI GTM OS Enterprise* – from £25k/mo

3 months minimum contract*

Continuous competitive advantage

Agent performance monitoring + drift control

Continuous optimisation of workflows + prompts

Dedicated AI Ops lead

Monthly deployment of new automations

Quarterly GTM system upgrades

Always-on competitive intelligence loop

Lifecycle improvements + experimentation

Included with AI GTM Operating System

Audit trail and logging

Role-based permissions model

Governance documentation

Security/compliance hardening

Multi-region deployment

Multi-brand / multi business unit rollouts

Dedicated AI Ops lead

24–48hr response times

Reporting to exec team on ROI + performance

Continuous optimisation + experimentation

Output: A continuously improving AI GTM execution layer that compounds advantage as your business scales.

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.

Deploy MCP-powered AI agents to run your GTM operations

Use the latest technologies topower your GTM

Buy

Hire

Build

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

Browse our Agent catalogue

RevOps Agent

HubSpot Onboarding Agent

GTM Strategy Agent

BI & Insight Agent

Customer.io Lifecycle Agent

Custom Agent Builder

Knit your GTM together at scale with MCP server connections

MCP: The Cross-System Intelligence Enabler

What it enables:

How ARISE GTM Uses MCP:

Outcomes you get

Select a plan

Agentic GTM Blueprint from

£25k (2–4 weeks)

Deploy Agentic GTM from

£85k (8–14 weeks)

AI GTM OS (Managed) from

£5k/per month

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

Frequently Asked Questions

What is an agentic AI team?

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

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

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

How does pricing work?

How does MCP work (in simple terms)?

Can these agents take action inside HubSpot and our systems?

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

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

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

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Use the latest technologies to
power your GTM