Beyond KTLO | Dayos | AI for Business

CHALLENGE

As 90% of Fortune 1000 companies rely on SaaS platforms like ServiceNow, Oracle, Workday, and SAP to power their critical back-office processes, the demand for experienced systems engineers and architects remains strong. However, a critical shortage of skilled professionals is emerging. Unlike other disciplines, the specialized expertise needed to manage these platforms for implementations, business expansion, and ongoing support is "not taught at universities or trade schools." This leaves businesses dependent on a shrinking pool of experts with practical, hands-on experience.

While training programs for these platforms are a necessary solution, they often fail to provide the real-world project experience required for success. As a result, turnover in the profession remains high, and the average experienced professional falls far short of the 10,000 hours of expertise typically needed for mastery.

Industry experts note that entry-level talent "requires significant oversight for six months" before becoming productive. Even then, they often fail to meet the expectations of high-stakes projects. Companies are forced to pay "20-30% higher labor costs" to hire less-experienced candidates, while the industry benchmark of 10 years' experience has dropped to just 6-7 years.

Traditional KTLO models scale the wrong way. Every new ticket, every new configuration, every new compliance requirement needs another senior engineer to handle it. The cost line and the headcount line move together. As the volume of back-office work grows, the cost of supporting it grows with it. Organizations are no longer searching for more support. They are searching for a model where the cost of running the platform goes down the longer they run it.

Retirement Wave
41% of Skilled US Workers Set to Exit by 2031
Rising Costs of SaaS Expertise
Companies pay 20–30% higher salaries to hire candidates with less-than-ideal experience, as the talent pool continues to shrink.
$550K/Year
Average Cost for a medium-sized enterprise to maintain a team of three professionals dedicated to supporting a single ERP or HCM platform

Hero Pro is the platform that goes beyond KTLO. The first twelve months are about replacing the cost of keeping the lights on. Every year after is about taking another layer of manual work off your team's plate.

Hero deploys in two weeks on your ERP or HCM. The productized agent library activates from Day 14: Answers, Reports, Tickets, and Sentinel start deflecting work immediately. 30% of routine tickets resolve with no human touch. Report development moves 70% faster. SLAs close 50% faster. These are the baseline outcomes, available to every Hero customer from the first sprint.

The platform is self-learning. Every ticket, every reconciliation, every close pattern trains Hero on your environment. By the end of the first quarter, the platform has built semantic memory of how your business actually operates. Where the manual work lives. Which workflows carry the highest cost. Which exceptions repeat.

Autonomous agent build delivers a new custom agent every twelve months. Your forward-deployed engineering team uses what Hero has learned to design, scope, and ship a net-new agent against your highest-cost manual workflow. Year 1 targets the biggest pain. Year 2 targets the next one. Year 3 targets the one after that. Each agent is tailored to your industry, your tickets, your SOPs.

Hero Pro is not staff augmentation. It is a self-learning platform with a bonded engineering team delivering production agents on an annual cadence. The cost of supporting your back office goes down every year you run it.

Dayos Usage Based Support Example

RESULT

Year 1 of Hero Pro replaces the cost of your KTLO contract. The productized agent library handles the baseline. Tickets get resolved. Reports get built. Configurations get validated. The work that used to fill your team's queue is now being done by agents that log in, execute, and validate inside your system of record.

Year 2 is where the math changes. Autonomous agent build ships the first custom agent against the highest-cost manual workflow Hero has identified during the first twelve months of operational learning. The workflow that used to consume hundreds of hours per quarter now runs as an automated process with human approval. Your support footprint shrinks for the first time.

By Year 3, two custom agents are running in production alongside the baseline library. The two highest-cost manual workflows are now automated. Your team has stopped doing the work that used to define their week. The cost of supporting your Oracle, Workday, or SAP environment is a fraction of what it was when you signed.

This is the compounding model. Every year you run Hero, more of your back-office work is being done by software. The KTLO contract that used to grow with your transaction volume now shrinks against it. Hero Pro is how that math works.

FAIL RATE
70% of newly implemented ERP initiatives will fail to fully meet their original business goals.
90 DAYS
Standard Hyper-Care: Warranty support before implementers pack up and leave.
CAGR 10%
Avg. Growth for HCM & ERP Each ERP and HCM implementation fuels demand for 10,000-hour experts, essential for maintaining ROI post-launch.

100
%
Percent SaaS customer with untapped ROI. Every single one.
Source: Conversations with Every SaaS Customer Ever.
15
%
Rise in unsuccessful deployments in the last five years.
Source: Gartner (2022)
55
%
55% were considered to have missed the expectations that stakeholders had for the project.
Source: Gartner (2018)

Percent SaaS customer with untapped ROI. Every single one.

Rise in unsuccessful deployments in the last five years.

55% were considered to have missed the expectations that stakeholders had for the project.