The challenge
As the CTO for Americas – Consulting & Engineering Services (CES) at DXC, Angela Daniels is responsible for helping major enterprises modernize their engineering organizations — from global banks to government agencies.
But large-scale transformation brings recurring challenges:
- Fragmented processes across thousands of projects
- Slow handoffs between developers and leads
- Long delivery cycles on critical applications
“We work with the systems people use every day — from airline apps to major banking systems,” said Daniels. “We know what modernization takes. But many state and enterprise systems can’t move fast enough.”
When DXC scoped a new environmental health and safety product for state agencies, the team estimated a one-year delivery timeline. Daniels and her team decided to test whether AI could change that timeline entirely.
Why Augment?
Daniels and her team selected Augment Code for its ability to handle full-context engineering work — not just code completions.
“Augment was the first tool that felt like I’d handed a task to a junior engineer,” Daniels said. “It took requirements, wrote code, ran tests in the terminal, and validated the results end to end.”
A single developer on her team introduced Augment after testing it on complex tasks other AI tools struggled with. Once the results were clear, DXC rolled it out to client projects and internal teams.
The results: From a year to 10 Days
The environmental health and safety product that was scoped for a one-year build reached a beta-quality release in just 10 days with Augment.
“It really blew our minds what we were able to achieve,” Daniels said. “We intended to build an MVP — what we got was a beta.”
By using Augment to generate and validate code, DXC’s teams could redirect their energy toward deeper testing, new features, and user experience improvements.
“Instead of cutting scope to meet the timeline, we did more in less time.”
Accelerating junior developers
The biggest transformation came in how junior engineers contributed.
“I gave a GIS mapping feature to a junior developer. Normally that would take a sprint or two,” Daniels explained. “They implemented it in hours. They were operating like a mid-level developer.”
AI is shortening the DXC feedback loop.
“With Augment, junior devs can ask the questions they might hesitate to ask a lead. It’s like having mentorship built into your IDE.”
Key projects delivered at unprecedented speed
1. Environmental Health and Safety Platform
Developed for state agencies to collect and manage environmental safety data across buildings.
- Estimated: 1 year → Delivered Beta: 10 days
- Multi-device support: web, mobile, tablet
- Full SSO integration with AWS Cognito and Azure AD implemented in 1 day
2. Public-Sector Modernization Platform
Designed to help government organizations streamline complex citizen-facing processes.
- Consolidated fragmented workflows across multiple agencies
- Delivered unified mobile and web experiences for faster service delivery
- Demonstrated how AI-driven engineering could directly improve civic and community outcomes
“In the public sector, what’s at stake can be enormous — sometimes billions of dollars tied to critical services,” Daniels said. “Augment helped us deliver working platforms faster than we ever thought possible.”
Becoming an AI-native engineering organization
Daniels describes DXC’s evolution as moving from AI-assisted workflows to an Xponential operating model where agentic systems, human expertise and governance combine to drive measurable business outcomes..
“We started with assistants, but now we’re embedding agents across the SDLC — from design and requirements to deployment.”
Her team is developing Teams-based AI agents that capture transcripts from daily scrums, translate them into technical artifacts, and feed them back into Augment.
“We want a world where conversations become code. The human still validates and verifies — but AI takes the first pass.”
Measuring impact
DXC measures AI impact using engineering metrics such as Agile KPIs (speed, quality across sprints) and DORA metrics (deployment frequency, stability), alongside business and governance indicators that track value realization, risk reduction and human enablement.
“We’re not chasing cost savings,” Daniels said. “It’s about saving time. Like buying a faster car — the distance is the same, but now you can stop for Starbucks on the way to work. That extra time creates new value.”
By integrating Augment Code, DXC is redefining what enterprise software development looks like — moving from AI-assisted to AI-native, at scale.
“After 25 years in development, I’ve never been more excited,” Daniels said. “These tools make me want to put my hands back on the keyboard every day.”
About DXC Technology
DXC Technology (NYSE: DXC) is a Fortune 500 global IT services leader helping the world’s largest organizations run mission-critical systems and modernize their operations.