Fractional Chief AI & Revenue Officer
One executive seat for AI and revenue.
AI strategy and revenue performance are run as one discipline, by one accountable executive, at a fraction of a full time C suite package. Governance, security, and a clear business case sit on the same plan as pipeline, forecast, and a deployed fleet of Axiom agents.
Everything below is the proof behind that advice.
Apply the four tests to me. Then to anyone else.
Thirty years in enterprise technology as a senior operator, not a commentator: large scale systems integration, data and infrastructure modernization, security and compliance programs, and enterprise architecture delivered inside Fortune 500 environments. I publish a daily AI briefing that takes no money from the vendors and model providers it covers, so nothing I recommend is bought. I run sixteen AI systems in production, which means I have personally handled model selection, prompt and retrieval architecture, evaluation, human in the loop controls, monitoring, and failure modes rather than reading about them. I hold four governance certifications covering AI risk management, privacy, security, and controls, so I can audit the architecture, data lineage, and policy posture behind my own recommendations. And every technical claim I publish clears a three gate verification chain against primary sources before it airs.
The four criteria
Unbought
No vendor pays me to say anything.
DX Today publishes seven days a week. No sponsored content. No pay to play coverage. No affiliate links. No paywall, ever. Every claim is traced to a primary source and fact checked before it airs.
The publication is free and stays free. It is funded by my advisory practice, not by the industry it covers. That is the entire reason I can afford to tell you a product does not work.
Built
I ship the thing. I do not just have opinions about the thing.
Sixteen AI staffed roles running in production under human supervision, including SDR, receptionist, inbound response, reactivation, expansion rep, referral manager, renewal manager, invoicing clerk, collections clerk, billing recovery, quote chaser, publisher, sales ops, and GTM analyst. On the job in five days. Month to month, no annual lock in.
When I tell you what AI can and cannot do inside a revenue operation, it is because mine are running right now and I see what breaks.
Certified
I am credentialed to audit what I recommend.
CISA, CISM, CGEIT, PMP, ITIL, and CobiT. That is an audit vocabulary, not a technology vocabulary. It means I come at AI oversight the way a risk committee does, which is a different job from building a model and a different job again from selling one.
Behind it: thirty years and roughly $1.2 billion of delivered enterprise solutions, into Fortune 500 manufacturing and financial services. Nineteen published titles.
Sourced
Every claim is traced to a primary source before it airs. Pick any story and check it.
DX Today runs a verification chain on every claim it publishes, before publication rather than after. Three independent gates, each a different model, plus corroboration against the original source. Nothing airs on one source and nothing airs on my say so.
I run the same verification discipline on my own publication that I would put on your AI systems. If I could not govern my own output, you should not let me near yours.
Comparative assessment
Verification protocol
Anyone can say they are accurate. Here is the process that has to clear before something goes out under my name, so you can check whether I actually follow it.
- 01
Primary source or it does not run.
A claim is traced back to the original document, filing, or announcement. Reporting about reporting is not a source.
- 02
Three independent verification gates.
Each claim is checked by three separate models, not one, then corroborated against the original. Agreement across independent checks is the bar, not a single confident answer.
- 03
Verified before it airs, not after.
The chain runs at production time. Nothing gets published on the assumption it can be walked back later.
- 04
Corrections are visible and prompt.
Errors go to rick@dxtoday.com and get fixed in the open, not quietly edited.
- 05
The same gate governs every channel.
Daily brief, podcast, newsletter, video. One shared verification process rather than a different standard per format.
What never happens
No sponsored content. No paid editorial coverage. No thought leadership partnerships at any price. No exclusive vendor partnerships and no referral fees. No paywall, no tiers, no gates.
This is the part I would point at first. I am asking you to trust my read on AI systems you are about to spend real money on. The reasonable response to that is to ask what discipline I hold my own output to. This is the answer, it is published, and you can test it against any story in the archive.
Pick a story. Follow the sources. That is the whole invitation.
Track record
- Sector coverage
- Enterprise, mid-market, and SMB. Financial services. Healthcare. Retail. CPG. Manufacturing. Legal. Professional services.
- Delivered
- Approximately $1.2 billion in enterprise solutions
- Certifications
- CISA · CISM · CGEIT · PMP · ITIL · CobiT · CMC · CITMC
- Education
- MBA · BS Computer Science · Executive Education, Business Management
- Published
- Nineteen titles on AI and digital transformation · 700+ podcast episodes
- Current
- Publisher, DX Today · Founder, AIXF
I reject the avalanche of AI marketing fluff.
Principle one
Evidence backed implementations
I do not deploy technology for the sake of technology. Every AI initiative is backed by a quantified business case and a realistic return on investment.
Principle two
Pragmatic governance first
Before a single model is trained or agent deployed, the guardrails are in place. Data privacy, compliance, and risk mitigation come before speed to market.
Principle three
Independent of any vendor
I do not sell software seats. My guidance is entirely independent, separating genuine technological capability from hollow vendor promises.
Strategic leadership for the AI era.
Fractional Chief AI & Revenue Officer
Embedded executive leadership that runs AI and revenue as one agenda: stand up your AI steering committee, audit current capabilities, define the eighteen to twenty four month AI roadmap, and tie it to pipeline and forecast.
Organizations that need C suite AI and revenue expertise without the full time executive compensation package.
AI Governance & Risk Architecture
Developing the corporate policies, compliance frameworks, and data security protocols required before employees are granted access to generative AI tools.
Boards and executives prioritizing risk mitigation, intellectual property protection, and regulatory compliance.
Vendor & Stack Auditing
An unvarnished, technical audit of your proposed AI vendor contracts and technology stack. I cut through the hype to tell you what the technology can actually do.
IT and procurement leaders evaluating major AI platform investments or platform migrations.
AI Strategy & Roadmap
A structured diagnostic of where AI creates real economic value in your business, translated into a sequenced, budgeted roadmap with clear owners, success metrics, and build versus buy decisions.
Leadership teams that need a defensible plan and prioritized use cases before committing capital or headcount.
Three decades in enterprise technology. Two disciplines. One focus.
Strategic advisory requires more than understanding algorithms or pipelines. It requires knowing how enterprise architecture, governance, and revenue operations actually behave under pressure. Across thirty years of enterprise technology leadership I have led transformation programs, stood up governance structures, and separated durable AI capability from vendor narrative as a fractional Chief AI & Revenue Officer. That same enterprise deal making experience, operationalized through a deployed fleet of Axiom agents, is what powers the Precision Revenue Framework™ for lean revenue teams. As a nineteen time published author on AI and digital transformation, my focus is singular: pragmatic, evidence based leadership that holds up in production, on the revenue line, and in front of a board.
$1.2B
Delivered
30+
Years enterprise tech
19
Books on AI & DX
4
Governance certifications
1,000+
AI systems reviewed
16+
Axiom agents live
Precision beats volume. Every time.
Thirty plus years of enterprise deal making and roughly $1.2 billion in delivered solutions, built into a go to market operating system for small and midsized technology firms. The old volume playbook, hire SDRs, blast sequences, run demos, was built for a market that no longer exists: buyers now complete seventy to eighty percent of their evaluation before a vendor hears from them. The Precision Revenue Framework™ is five strategic shifts, each one carried out by a named AIXF Axiom agent, supervised by a human, live on your stack in about five business days.
Read the full Precision Revenue Framework™ →The five strategic shifts
Noise → Signal
Market Positioning Architecture
Buyers see you as the only logical choice before the first call.
- Axiom AI Search Visibility. Audits and fixes what AI models say about you.
- Axiom Publisher and Podcast Studio. Ships your media property and thought leadership on schedule.
- Axiom Digital Presence Audit. Scores every place a buyer forms an impression.
Lists → Landscapes
Strategic Account Intelligence
Target accounts that are actually in market, not just on a list.
- Axiom Trigger Intelligence. Identifies companies that just took action worth acting on.
- Axiom Account Intelligence. Maps verified buying committees and how to open them.
Outreach → Orbit
Multi Touch Account Engagement
Meetings become a formality, not a cold ask.
- Axiom SDR. Runs the top of funnel research and outreach motion.
- Axiom Inbound. Answers every inbound lead within five minutes.
- Axiom Reactivation. Works closed lost and dormant accounts.
Demos → Discovery
Consultative Sales Execution
Premium pricing and shorter cycles, because the conversation earns it.
- Axiom Quote Chaser. Follows every open proposal to an answer.
- Axiom Referral. Systematically makes the referral ask at every success moment.
- Axiom Websites. The storefront staff that sells and schedules around the clock.
Pipeline → Predictability
Revenue Operations and Intelligence
Forecast accuracy and real pipeline health, not a hopeful guess.
- Axiom Sales Ops. Maintains CRM hygiene.
- Axiom Expansion. Mines your customer base for upsell signals.
- Axiom GTM Analyst. Provides the evidence behind the motion, in numbers.
Why the old playbook fails
In a saturated market, precision beats volume. Every time.
How I deploy
Small and midsized technology firms cannot afford to hire ten individual contributors to run a modern go to market motion. One or two human leaders direct the Axiom fleet instead.
- 01
Diagnose
A comprehensive audit of your go to market motion, pipeline health, competitive position, and team capability. Two to three weeks.
- 02
Architect
The complete strategy: positioning, account intelligence, engagement model, sales process, and measurement, mapped to the Axioms required to run it. Four to six weeks.
- 03
Activate
Coaching, tool configuration, and sustained performance management. The aligned Axiom fleet goes live on your stack in about five business days per agent. Ongoing fractional advisory.
Deploy a role, not a software seat
Each Axiom is a whole revenue role: research, outreach, follow up, and operations, holding a job description, running on a cadence, measured against KPIs, and supervised by a named human.
You manage the strategy and close the deals. The fleet handles the rest.
Track record
- Delivered
- Approximately $1.2 billion in enterprise solutions
- Quota attainment
- 180 percent, per current performance record
- Framework
- Five strategic shifts, sixteen plus Axiom agents in production
- Deployment
- Diagnose, architect, activate. Live on your stack in about five business days per agent
- Published
- Nineteen titles on AI and digital transformation
- Current
- Founder, AIXF · Creator, The Precision Revenue Framework™
I reject the volume playbook.
Principle one
Deploy a role, not a seat
Every Axiom is a whole revenue role with a job description and a named human supervisor, not another dashboard to log into.
Principle two
Precision over volume
The five strategic shifts replace blast sequences and identical AI written outreach with positioning, intelligence, and orbit.
Principle three
Built once, then it runs
Diagnose, architect, activate. The system is designed for your business, then the Axiom fleet operates it day to day.
Sixteen plus revenue roles, deployed and operated.
SDR & Inbound Fleet
Runs top of funnel research and outreach, answers every inbound lead within five minutes, and works closed lost and dormant accounts back into the pipeline.
Teams with no dedicated SDR headcount, or one that cannot keep pace with inbound.
Positioning & Presence Fleet
Audits and fixes what AI models say about you, scores every place a buyer forms an impression, and ships your media property and thought leadership on schedule.
Firms whose brand has not kept pace with how buyers now research before ever contacting a vendor.
Growth & Retention Fleet
Follows every open proposal to an answer, makes the referral ask at every success moment, and mines the customer base for upsell signals.
Teams leaving revenue on the table inside accounts they already won.
Operations & Intelligence Fleet
Maintains CRM hygiene and provides the evidence behind the motion, in numbers, so forecasts hold up under scrutiny.
Leadership teams that need a defensible pipeline number, not a hopeful one.
Three decades of enterprise deal making. One deployed fleet.
The Precision Revenue Framework™ is not a course or a template. It is thirty plus years of enterprise deal making, operationalized through a fleet of Axiom agents that run the research, the outreach, the follow up, and the operations, so a lean team can execute at machine velocity without a machine sized payroll.
$1.2B
Delivered
30+
Years enterprise tech
180%
Quota attainment
16+
Axiom agents live