Make AI work for your GTM motion
We help partner and demand teams apply AI where it matters—planning, activation, and operations. Start with what you have or build what you need.
AI that builds momentum
We've worked with partner and GTM teams at every major hyperscaler. We know what works in complex ecosystems and how to make AI fit the way you actually operate.
Our team works across the AI stack: CRM tools like Salesforce Einstein and HubSpot AI, cloud platforms like AWS Bedrock and Azure OpenAI, and orchestration frameworks like LangChain.
When existing tools fit your workflow, we optimize them. When they don't, we build what you need.
Our AI service areas
GTM PLANNING & READINESS
Shorten planning cycles and surface what matters.
GTM and account planning
Partner readiness assessments
Ecosystem segmentation
Scenario modeling
PARTNER & DEMAND ACTIVATION
Automate repetitive work without sacrificing quality.
Partner activation workflows
Campaign optimization
ABM and co-sell support
Marketplace activation
OPERATIONS & INSIGHTS
Turn data into action faster.
Reporting automation
Signal detection
Process optimization
Operations enablement
AI STRATEGY & READINESS
Know what to build, what to buy, and what to skip.
Use case identification
Governance frameworks
Tool evaluation
Workflow design
Start with problems, not technology
Most AI projects fail because teams start with tools instead of use cases. We identify where AI will move the needle: shorter planning cycles, cleaner data, faster activation, better reporting. Then we build the solution.
Optimize what you have, build what's missing
If you have AI in your CRM, marketing automation, or productivity tools, we'll apply it to partner and GTM workflows. When existing tools don't fit your ecosystem, we design and build custom agents and workflows.
Design for adoption
AI fails when teams don't trust it or can't use it. We design clear handoffs between automated and human work, align to your data governance, and measure what matters: cycle time, throughput, manual steps removed.
Typical engagement is 6 to 12 weeks to initial value.
How we work
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Yes. Most of our engagements start here. We run a use case workshop to identify where AI will have the most impact on your GTM motion, then build a roadmap. You'll know what to pursue, what to defer, and what to avoid.
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Depends on your GTM motion. If you have AI in your CRM or marketing automation, we'll show you how to apply it to partner workflows. Many teams get real value from Salesforce Einstein, HubSpot AI, or Microsoft Copilot. When those don't fit, we build what does.
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Depends on scope. Use case workshops and tool optimization show value in weeks. Custom development takes longer. Most engagements run 6 to 12 weeks to initial results. We focus on early wins, then build from there.
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One or two GTM motions you want to improve, access to relevant data, and a small cross-functional team willing to test and iterate. We define governance, measurement, and success criteria as we go.
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We align to your existing policies on identity, access, and data governance. Sensitive operations get human review checkpoints. We don't take shortcuts on security.
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We work across AWS, Azure, GCP, and other partner ecosystems. Platform-agnostic by design. You're not locked into a single vendor or tool.
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We establish baseline metrics (planning cycle time, activation throughput, manual steps) and track improvement. You'll see it in dashboards and in how your team works. Good AI makes work easier, not harder.
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Partner teams are stretched thin. AI reduces manual work in planning, activation, and reporting when it fits your workflow. Done wrong, it creates more problems than it solves. We've spent years figuring out what works.
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Common situation. Most GTM teams have AI capabilities they're underutilizing. We help you apply them to partner and demand workflows. When gaps exist, we fill them.
FAQs
Let’s figure out what makes sense for your team.
Whether you're starting from scratch or need help with existing tools, we can help.