Todd Kercher10 Mile Range Consulting Group

AI enablement · Technology leadership

Todd KercherFormer Verizon executive and CTO helping PE-backed and mid-market companies put AI to work

I help leadership teams find where AI will actually pay off, build it into the systems they already run, and get their people using it. Most recently, as CTO of a healthcare SaaS company, I ran engineering AI-first and took a stalled team from zero releases to 35+ in under six months, while growing a key revenue metric 400%+.

Case studies

What the work looks like in practice

Two engagements, two different problems: a stalled software company that needed to ship, and a large enterprise that needed acquisitions to pay off.

PE-backed healthcare SaaS · CTO · 2025–2026

From stalled delivery to 35+ releases in six months

The company had shipped nothing in a year. The mandate was to restore delivery, tie the roadmap to revenue, and modernize how the team worked. We ran the organization AI-first: AI coding tools in the engineering workflow, AI features in the product, and decisions driven by new KPI dashboards.

35+production releases in under 6 months
400%+growth in a key referral-driven revenue metric
2 wkpredictable planning and release cadence
4–6 wkcut from delivery cycle times
AreaBeforeAfter
Delivery0 releases in 12 months35+ releases in 6 months
CadenceUnpredictable2-week cycles
RevenueStagnantKey metric up 400%+
AIConceptualBuilt into how the team works and into the product
DecisionsFragmentedKPI dashboards and executive reporting

Execution discipline plus AI built into daily work gets faster, more measurable results than a broad transformation program.

Verizon · Executive Director · M&A integration

$440M+ in cost reductions from acquisition integration

I owned the technology side of many Verizon acquisitions, including XO Communications. The job was to combine architectures, platforms and teams at national scale without disrupting service to millions of customers.

$440M+in operating cost reductions
1,400+people across global engineering organizations
$220M+annual technology budget
200person engineering center built in Buenos Aires
AreaWhat I owned
ArchitectureTarget-state architecture for the combined business
PlatformsConsolidating overlapping systems onto shared platforms
TeamsCombining engineering organizations across the US, Argentina and India
GovernanceArchitecture standards, Agile delivery and quality practices

The savings in an acquisition come from consolidating platforms and teams, which is where technology leadership earns its keep.

What I can do for you

From AI strategy to production systems

I work with PE-backed and mid-market companies, especially software and healthcare SaaS businesses and companies integrating an acquisition. Most know AI matters. Fewer have the plan, the engineering depth, or the integration experience to get past the pilot stage. That gap is where I work.

Strategy

AI strategy and roadmap

Find the business problems where AI earns its keep, then rank them by value and effort.

  • Workflow and cost analysis
  • Prioritized initiatives with ROI estimates
  • Executive and board-ready plan

Build

AI agents and automation

Production systems wired into your CRM, ERP, data and documents, not demos running on the side.

  • Document processing and data extraction
  • Support, sales and operations agents
  • Knowledge search over company data

Leadership

Interim and fractional CTO

Hands-on technology leadership for a transformation, a gap in the org chart, or a company that's outgrown its setup.

  • Engineering org and roadmap
  • OKRs and delivery discipline
  • Board, investor and PE reporting

Integration

M&A technology integration

Combine platforms, architectures and teams after a deal without stalling the business.

  • Technical due diligence
  • Platform consolidation plans
  • Team integration

Teams

Distributed engineering

Build and run nearshore and offshore teams that ship, with clear ownership and measurable output.

  • Latin America and India delivery models
  • Team structure and vendor oversight
  • Engineering productivity with AI tools

Risk

AI governance and compliance

Use AI with sensitive data without creating new exposure, including in regulated healthcare settings.

  • HIPAA and PHI handling
  • Data access and usage policies
  • Model and vendor evaluation

How I work

Start with the problem. Ship something that works.

Problem first

We define the business problem, what it costs, and why it exists before anyone picks a tool.

Use what exists, build what matters

Proven platforms from OpenAI, Anthropic and Microsoft where they fit. Custom work only where it gives you an edge.

Pay for outcomes

Fixed-fee, deliverable-based engagements. You pay for results, not hours, so AI efficiency works in your favor.

  1. Discover

    Map workflows and pick the highest-value problem to solve first.

  2. Design

    Plan the AI workflow, data pipelines and system integrations.

  3. Build

    Develop and test against your real data and real edge cases.

  4. Deploy

    Put it into production, measure it, and keep improving it.

Experience

Three decades building and running enterprise technology

2023 – Present

Founder and Executive Technology Advisor

10 Mile Range Consulting Group · Colorado

  • Advise CEOs and leadership teams on AI strategy, platform architecture and engineering operating models
  • Help teams find where AI improves speed or quality, then prototype and pressure-test it before committing budget
  • Assess engineering organizations and contractor teams, and recommend what to keep, build, buy or partner on
  • Build roadmaps that tie technology spend to business outcomes and present them to executives and boards

2025 – 2026

Chief Technology Officer and Chief Transformation Officer

PE-backed healthcare SaaS company · Engagement through 10 Mile Range

  • Led a 100+ person organization covering technology, engineering, data and compliance
  • Went from zero releases in the prior 12 months to 35+ production releases in under six months on a two-week cadence
  • Shipped the platform's first AI features, including summarization and workflow automation, and put AI coding tools into the engineering workflow
  • Grew a key referral-driven revenue metric 400%+ by tying roadmap priorities to revenue
  • Cut delivery cycle times by 4–6 weeks by redesigning the operating model, accountability and DevOps pipeline
  • Set the target architecture (API-first services, AWS migration) and owned HIPAA/PHI compliance

1993 – 2023

Executive Director

Verizon · Senior technology leadership across architecture, data, platforms and transformation

  • Managed global engineering organizations of 1,400+ people and $220M+ annual budgets
  • Owned technology integration across many acquisitions, including XO Communications, delivering more than $440M in operating cost reductions
  • Built Verizon's 200-person engineering center in Buenos Aires and led teams across the US, Argentina and India
  • Led technology supporting the 5G Ultra Wideband and Fixed Wireless Access launches
  • Implemented enterprise analytics and AI/ML frameworks and led data science and ML staff
  • Received multiple executive leadership and innovation awards

Education

BS, Computer Information Systems

Colorado State University · Verizon executive leadership programs

AI strategyLLM applications and agentsClaude Code and AI coding toolsModel selectionData pipelinesAWS and AzureAPI and microservices architectureDocker and KubernetesCI/CD and DevSecOpsHIPAA / PHIM&A integrationNearshore and offshore deliveryBoard and PE reporting

Work with me

Ways we can work together

Whether you're just getting started with AI or need someone to run the technology organization, there's a clear place to begin.

Build

AI implementation projects

Design, build and deploy AI agents and automation inside your existing systems, priced by deliverable.

Lead

Interim or fractional CTO

Senior technology leadership for a defined period, from part-time advisory to running the organization.

Partner

Co-build with your team

Work side by side with your engineers so the capability and the ownership stay in-house.

Improve

Ongoing advisory

Regular check-ins to tune what's running, expand what works, and keep the roadmap current.

Contact

Let's find where AI can help your business

Send a short note about what you're working on. I'll reply within one business day. Based in Colorado and working with clients remotely and on site.