56%
AI is not yet translating into financial impact
56% of CEOs report no significant financial benefit from AI so far. Only 12% report both cost and revenue benefits.
AxAI · Agentic AI Delivery
Choose the right AI for the problem. Prove it before you scale.
AxAI helps private equity-backed businesses and global enterprises apply Agentic AI to real business problems. We choose the model that fits the problem and work inside your systems, data and workflows, from your first use case through production.
The Reality
AI is now a business priority. The challenge is making it work inside the business.
56%
56% of CEOs report no significant financial benefit from AI so far. Only 12% report both cost and revenue benefits.
53%
When AI pilots stall, the biggest barriers are data quality (53%), integration (47%), unclear ROI (33%), and security or compliance (33%).
17%
Only 17% of mid-market firms are pursuing AI across the whole business. Just 35% have a formal AI governance framework.
Sources: PwC, 29th Annual Global CEO Survey, January 2026. RSM US, Middle Market AI Survey, July 2026. RSM US, Middle Market Cybersecurity Report, May 2026.
Where AI Can Work
The right AI starts with the work, not the technology. These are the four functions where it changes the most, and what that has looked like in practice.
Sales & Revenue
Research accounts and qualify them before your first call. Personalize outreach using each contact’s own context, and carry the notes through the handoff.
Customer & Service
Keep the deal context from onboarding through go-live. Resolve routine requests with the full history attached, so your teams have the information they need and customers don’t have to repeat themselves.
Product & Engineering
Let agents handle coding, review, testing and documentation, while your engineers stay in control of the decisions that matter.
Finance & Operations
Build recurring reports from source data, automate reconciliation with people signing off, and see performance during the month rather than after it.
See what this looks like in practice.
01 · Revenue
Turn account intelligence into qualified pipeline.
AI agents research your target accounts, qualify opportunities, personalize outreach and streamline the handoff from prospecting to sales.
Result~3x qualified meetingsAccount research took about four hours per account.
02 · Operations
Keep every engagement review-ready.
AeriesOne brings onboarding, delivery tracking and business reviews into one operating view. AI agents support routine processes while your people stay in control of critical decisions.
Result~2.5 days/month leadership time recoveredManual data assembly reduced by 60 to 70%.
03 · Engineering
Ship faster, with your engineers still in control.
AI agents support coding, review, testing and documentation while your engineers retain control of key decisions.
ResultZero migration rollbacks139K lines of code shipped to production.
We will help you identify the right use case, determine the right AI approach and build a working prototype to prove what works.
Scope Your First Use Case →How AxAI Works
Start with a focused business problem. Prove what works quickly, then scale what works across the business.
Our Forward-Deployed Engineering model puts engineers alongside your team, inside your systems, data and workflows, from the first use case through production.
Start with one business problem, the workflow behind it and the systems it touches. Define what should improve and what success looks like.
You receivePrioritized use case and implementation plan
Build on your real data and workflow. Your team uses it on real work and sees what works before deciding whether to scale.
You receiveWorking prototype and scale recommendation
The same engineers take the proven solution into production, connect it to your systems and workflows, and keep your people in control of the decisions that matter.
You receiveProduction-ready AI and path to scale
Production is not a handoff. We stay involved, measure what changes, and improve the system as your business evolves.
Who can use it, what data it can access and what approvals are required.
Your identity, access rules and audit trail stay under your control.
Works with the cloud, models and systems you already use.
Monitored and supported in production, with changes that can be rolled back safely.
AI usage measured and spending controlled by use case.
A small model trained on your data where it fits. A large general model only where it pays. We choose the AI approach that fits the problem, your systems and the economics of the use case.
AxAI brings together the right combination of AI models, enterprise data, workflows and human oversight to move AI from experimentation to measurable business outcomes.
FAQ
Business problems where AI can improve a measurable business outcome, such as increasing pipeline, reducing manual work or speeding up decisions. We start with the business problem, not AI for its own sake.
No. Many companies have ideas but no clear priority. We start with a specific business problem, identify the right use case and determine the right AI approach, rather than beginning with a lengthy strategy exercise.
Our engineers work alongside your people, inside your environment, on your systems and data, from the first use case through production. Business context, AI expertise and engineering work together in one team.
Yes. AxAI works with the systems, data and workflows you already use. There is no need to replace your existing technology to get started.
We do not assume one model fits every use case. AxAI selects the AI approach that fits the problem, combining the right AI models with your enterprise data and workflows, with governance and human oversight where needed.
Ready to Explore the Opportunity?
Start with one business opportunity. We'll help you explore what's possible and decide what to do next.