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Agentic Engineering

Start a pilot to apply agent workflows to 
your SDLC and measure gains within weeks

MIT Technology Review Insights, sponsored by SoftServe, examines how agentic AI is shaping software engineering
The report captures how leaders approach adoption, where early value appears, and how teams rethink workflows, roles, and lifecycle ownership.
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25%

Potential productivity gains for AI-assisted engineering

90%

Manual effort reduction possible through SDLC automation with human oversight

Client Voice

Rebuilding Healthcare Software Delivery With Agentic AI

Fortified Health Security faced increasing compliance demands and a faster-moving market. SoftServe helped rebuild its SDLC around an agentic framework, AI agents guided by shared architecture and compliance context, with engineers directing the work instead of doing it by hand. The result: roughly two FTEs of added capacity per quarter, two hours saved per task, and 60% of sprint work now running agentically, adopted across every team.
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Rebuilding Healthcare Software Delivery With Agentic AI

Our Offers

Intelligence Advisory

Intelligence Advisory

AI is moving quickly, but traditional SDLC processes are slowing it down. Intelligence Advisory helps organizations design their Agentic SDLC by aligning strategy, engineering practices, and governance to unlock productivity gains, realize AI value, and build competitive advantage.

Activation Pod

Activation Pod

Prove measurable gains in live delivery. Build capability as you embed agentic engineering into delivery. Our pods embed SoftServe experts alongside client teams to solve real problems in real time. Teams learn by doing while accelerating delivery through applied agentic engineering.

Assessments

Assessments

Identify performance constraints and establish a baseline by understanding your current state. We assess delivery practices, map processes, and surface risks, constraints, and opportunities. The result is clear findings with actionable insights and prescriptive next steps.

Large-Scale Training

Large-Scale Training

Standardize agentic engineering across teams and raise your organization’s baseline. We upskill teams at scale with tailored objectives, measurable outcomes, and consistent practices. Training improves effectiveness, accelerates adoption, and enables teams to scale AI delivery.

Our Expertise

Agentic SDLC

Agentic SDLC is a modern software delivery model where intelligent agents collaborate to plan, build, test, and improve systems. It enables faster iteration, higher quality, and adaptive software delivery.

Composable Agent Catalog

A catalog of specialized AI agents powers the SDLC, handling BA/requirements, architecture, code generation, testing, CI/CD, SRE/maintenance, and DevOps to optimize efficiency and speed.

Intelligence Engineer: The Human-AI Bridge

The Intelligence Engineer fine-tunes and supervises AI tools, making sure they fit the project’s needs. They’re the bridge between human expertise and AI efficiency.

Agentic Engineering in Practice

Learn how SoftServe’s Agentic AI streamlines software development. Explore automating CI/CD, modernizing legacy code, and using AI agents to save time, cut costs, and improve results.

white paper

From Manual Checks to Autonomous Deployments 

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white paper

From Hype to Agentic Engineering

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white paper

Modernize Legacy Systems with SoftServe’s Architect Agent

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white paper

Reimagine the Software Lifecycle With Agentic AI

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Our Insights

white paper

Generative and Agentic AI Trends 2026

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white paper

The Economics of AI: Cost Dynamics and New Value Streams

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video

SoftServe Architect Agent: Demystify Legacy Code

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report

Cloud Modernization: The AI Catalyst No one Can Ignore

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guide

Why Most Data Initiatives Fail and How to Fix Them in 2026

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case study

How Fortified Health Security Rebuilt Its Entire SDLC Around AI

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Solutions

Agentic Engineering Suite 

Agentic AI is transforming software development. By automating every phase of the SDLC — from gathering requirements to deployment — it reduces delays, boosts efficiency, and delivers better software faster. A network of smart AI agents makes the process seamless and nearly human-free.