AI Adoption & Revenue Consulting · United States

Where AI becomes revenue.

NexSpark Solutions is an AI and revenue consultancy serving US mid-market companies and private equity sponsors. We unite enterprise technology delivery with marketing and revenue leadership, so AI moves from initiative to income statement.

Request an executive briefing Explore our capabilities

94%

of mid-market companies use generative AI, yet only about 2% have scaled it into measurable returns

70 to 75%

of AI pilots stall before production, and the reasons are organizational, not technical

30 years

of enterprise platform delivery and marketing leadership behind every engagement

Why we're different

AI for revenue, not AI for IT

Most AI assessments are written by technologists for the IT department. Ours are built by technology and marketing leadership working as one team, so every recommendation is tied to pipeline, conversion, pricing, and retention rather than infrastructure alone.

Executive-led, always. The executives who scope the work are the executives who deliver it, on every engagement.
Defined scope, published timelines. Engagements are scoped precisely and delivered on committed dates. No drift, no surprises.
Built for the pilot-to-production gap. The failure mode is organizational: adoption, incentives, workflow redesign. We bring the discovery rigor to diagnose it and the operating experience to fix it.

Vendor-neutral. We take no referral fees or commissions from any tool we recommend.
Measurable by design. Every engagement defines its success metrics up front and reports against them.
US-focused, remote-first. We serve US mid-market companies and private equity portfolios, on your time zone.

Capabilities

Assess. Prove. Scale.

Every engagement begins with a rigorous assessment, builds proof in production, and scales what works, with a clear decision point at each stage.

Start here

AI Readiness & Revenue Assessment

An honest, vendor-neutral picture of where you stand, plus the five AI opportunities with the largest revenue and margin impact for your business specifically.

AI readiness scorecard, benchmarked to peers
Systems, data & martech stack audit
Top-5 revenue AI opportunity map
90-day roadmap with owners and costs
Executive walkthrough session

Three weeks · Executive-led

Prove it

Pilot-to-Production Sprint

We take your best stalled pilot, or the top opportunity from the assessment, and get it live in production with adoption metrics your board can read.

One use case, taken all the way to production
Workflow redesign and team adoption plan
Measured against revenue and margin KPIs

60 to 90 days · Scoped from your assessment

Scale it

Executive AI Leadership

Ongoing senior coverage without the executive-search wait: CTO/CAIO leadership on the technology side, CMO leadership on the revenue side, embedded with your team.

Technology & AI strategy ownership
Marketing & revenue operations leadership
Start in two weeks, not six months

Ongoing · 6 to 12 months

Fast wedge

AI Governance & Policy Sprint

Two-thirds of executives believe they've already had a data leak from unapproved AI tools. Two weeks to a usage policy, tool inventory, and risk triage your counsel will sign off on.

Shadow-AI tool inventory
Usage policy & guardrails
Risk triage with a fix sequence

Two weeks · Counsel-ready output

For Private Equity

One standardized assessment. Your whole portfolio.

Operating teams are getting leaner while AI demands get louder. We give sponsors a repeatable, per-portco AI readiness module, sized for lower-middle-market companies, that slots into the 100-day plan the way you codify everything else.

Specialist depth, portfolio playbook. We run the assessments; your operating team keeps the standardized scorecard, templates, and methodology for reuse across the portfolio.
Built for the lower middle market. Engagements sized for $5M to $200M-revenue companies, the segment global firms overlook and internal AI teams can't stretch to cover.
Board-ready output. Scored roadmaps formatted for your reporting cadence, with every recommendation tied to income-statement line items. No transformation theater.

Discuss a portfolio program

Every month an AI initiative stalls inside a portco is a month of EBITDA that never shows up at exit.

Typical engagement: a two-company pilot proving the model in six weeks, then portfolio rollout scheduled quarterly with your operating team: new platforms at the 100-day plan, existing portcos ahead of add-on integrations.

An operating-partner review meeting over printed portfolio roadmaps

How we engage

A disciplined path from briefing to scale

Executive briefing

A focused working session with our executive team on where your AI agenda stands and where the revenue opportunities are.

Assess

A three-week readiness and revenue assessment: interviews, systems review, opportunity map, and a costed 90-day roadmap. Under 12 hours of your team's time.

Prove

Pilot-to-production delivery on the highest-value opportunity, measured against the revenue and margin metrics defined up front.

Scale

Ongoing executive AI leadership as adoption widens: technology direction, revenue operations, and governance as one program.