Clients
Proud to partner with
ai-forward organizations
We are proud to partner with AI-forward organizations to translate marketing strategy into performance through applied AI.
Talk to us to see how we could unlock potential leveraging AI for your organization.
Trusted by
Trusted by business and marketing leaders to deliver results.
Turning marketing AI experimentation into enterprise impact
CASE STUDY: COLBRI GROUP
Colibri builds the future of professional education. Millions of licensed pros start and advance their careers through its online and in-person learning solutions for licensing, continuing education, test prep, and professional development.
Colibri partnered with Spark Novus to move from fragmented experimentation to a coordinated marketing AI program enabling formal, scalable adoption across marketing teams across the enterprise.
Delivering Enterprise AI Enablement for Better Business Outcomes
CASE STUDY: SHAPIRO NEGOTIATIONS INSTITUTE (SNI)
SNI, a global leader in negotiation, sales, and influence training and consulting, helps organizations improve negotiation performance, strengthen relationships, and achieve better business outcomes.
SNI partners with Spark Novus to apply AI in strategic and responsible ways across marketing, sales and operations, strengthening execution and consistency while preserving its human-centered approach.
Translating marketing AI strategy into measureable growth
CASE STUDY: EPLANNER PRO
ePlannerPro is a comprehensive platform for managing meetings at trade shows and conferences.
ePlannerPro partnered with Spark Novus to align marketing strategy, execution, and AI into a unified approach. By eliminating manual overhead, the lean team scaled web output by 110% and social volume by 204% while maintaining brand clarity and consistency.
Building Unstoppable Momentum: AI and Change Management for Revenue Teams
CASE STUDY: KAHUA
Kahua is a cloud-based construction project and capital program management platform that enables owners, program managers, general contractors, and subcontractors to collaborate more efficiently, streamline workflows, and gain real-time visibility across complex projects.
Kahua partnered with Spark Novus to deliver a featured Revenue Kick-Off session focused on disciplined change management and AI as an operating advantage, reinforcing execution standards and aligning sales, marketing, and revenue leaders around measurable growth.
Is your marketing organization integrating AI with intention or reacting to it?
This is the moment where clarity matters more than speed.
AI is already reshaping how marketing decisions are made, how teams operate, and how success is evaluated across organizations. What began as experimentation is now influencing everyday planning and execution, often faster than operating models, skills, and governance can keep up. The risk is not moving too slowly, but allowing AI to spread in fragmented ways that create inconsistency and dilute accountability. Leaders pulling ahead are integrating AI with intention, treating it as an organizational capability rather than a collection of tools, and aligning it to outcomes that matter.
If this resonates, it may be time to have a conversation with Spark Novus.
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Spark Novus partners with marketing leaders to apply AI where it creates clarity, efficiency, and measurable results, helping teams move beyond scattered experimentation toward disciplined application.
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Spark Novus supports marketing leaders in clarifying priorities, strengthening team capability, and embedding AI into real workflows — from strategy and planning to execution and optimization across functions.
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Spark Novus starts with business priorities and outcomes first, then helps marketing teams align AI adoption to those priorities through structured programs, governance, and training rather than tool exploration alone.
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Training and enablement are tailored to team maturity, roles, and workflows so that marketers move from individual experimentation to integrated, team-wide competency and confidence with AI.
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Leaders can expect clearer decision frameworks, stronger team capability, better alignment around AI priorities, and measurable improvements in marketing productivity and execution.