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SOFTWARE ENGINEERING SERVICES

Build new software. Modernize what runs the business. Accelerate both with agentic engineering.

What is Softtek Agentic Software Engineering (ASE)?

Softtek ASE does more than help engineers do tasks faster. It gives agents defined work across the SDLC. Several feature variants can be built and compared and more stages of the SDLC can take place at the same time.

This level of agentic autonomy requires accountability. Softtek ASE is specification-led, with senior engineers in Smart Pods turning an outcome into work agents can execute and always having the final say on what ships.

This is how our AI that Ships principle works in the SDLC. Start with what the business needs and keep it in view until the software ships.

What changes with agentic software engineering

Softtek ASE changes how much work can move, what teams can evaluate before committing, and how clearly delivery can connect to business value.

More chances to get the feature right

Agents can build several working versions of a feature in parallel. Teams compare what works before they commit.

“I’ll know it when I see it” gets less expensive.

More of the roadmap moves at once

Code, tests, security checks, documentation, and acceptance evidence can move together.

Faster coding gets work to the next queue sooner. ASE reduces more of the waiting between them.

Software spend the boardroom understands

A clear specification defines what the business is buying and what counts as done.

That makes it easier to measure the cost of completed software, not just the hours behind it. More pricing can move to accepted outputs or outcomes.

Put engineering judgement where the business needs it most

While agents help increase execution speed and throughput, senior engineers bring expertise to the decisions that help avoid rework, complexity, risk, or downstream business impact.

Keep the product connected to its business intent

Specifications keep the business, engineers, and agents working from the same definition of done.

That lowers the chance of the perfect software solving the wrong problem.

What would you change about how software gets built?

Find your ASE starting point ➜

Why Softtek

The engineering model came first

We’ve been refining software delivery for decades. Our engineering discipline doesn’t change with agents in the picture; it becomes codified into know-how they can use.

Nearshore collaboration

We pioneered nearshore delivery in 1996. Proximity and same-time-zone collaboration matter even more when the work moves at agentic speed.

We aren’t tied to one stack

If your technology is already set, we work with it. Where it makes sense, FRIDA can bring ready-to-use agentic capabilities as part of the engagement. Or we combine both.

Our discipline is audited, not just promised

We hold ISO/IEC 42001 for AI management systems, the first technology company in Latin America to earn it, alongside CMMI Level 5 and TMMi Level 5.

Our software engineering services

Softtek ASE is our agentic delivery model for the software engineering portfolio. The services below show where we put it to work.

AI-native products

AI-native products

Build products with AI inside the experience, not only inside the delivery process. We combine software engineering, data, and governed AI so those capabilities work inside the systems, controls, and workflows the business already depends on.

Includes:

  • AI-enabled product features and copilots
  • Agentic automation embedded in applications
  • AI-first user experiences
  • Custom AI integration with enterprise platforms

Digital product strategy and engineering

Digital product strategy and engineering

Align applications to business priorities while reducing tech debt, run costs, and delivery friction—so application management becomes a driver of business performance, not just maintenance.

Includes:

  • Product discovery, user research, and value definition 
  • Product and portfolio roadmaps
  • Experience design and prototyping
  • Custom software development across web, mobile, APIs, and cloud-native platforms
  • MVPs, pilots, and innovation accelerators

Platform engineering and system integration

Platform engineering and system integration

Build the foundations that help applications, data, and teams move faster without adding more architectural friction. We connect systems across the enterprise and partner ecosystem, and create reusable, secure capabilities that make change easier.

Includes:

  • Platform engineering and internal developer platforms
  • API-first and event-driven integration
  • Cloud and data integration
  • DevSecOps, CI/CD pipelines, infrastructure as code, and SRE

Application modernization and legacy transformation

Application modernization and legacy transformation

Modernize legacy software without forcing every application through the same rewrite. Agents help reconstruct code, business rules, dependencies, documentation, and tests so teams can choose the right path for each application and validate changes faster.

Includes:

  • Application portfolio assessment and modernization roadmaps
  • Legacy modernization and AI-assisted transformation
  • AReverse engineering of code, business logic, documentation, and tests
  • Cloud, architecture, platform, and UX modernization
✕

Softtek recognized as a Challenger for the second year in a row

2026 Gartner® Magic Quadrant™ Custom Software Development Services, Worldwide


Explore the recognition

An estate ready to take part in what’s next.
AI that Ships starts there.

Modernization gives AI a way into the systems and business logic where real work happens. We use code-intelligence and reverse-engineering agents to understand each workload and choose the right path, without defaulting to a costly rewrite.


Explore AI-driven modernization
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How Softtek Agentic Software Engineering works

Softtek ASE combines accountable Smart Pods with a specification-led lifecycle. The technology underneath can change without changing the delivery model or who is accountable.

Nearshore Smart Pods bring accountability to agentic autonomy 

Agentic delivery moves in tight loops. An overnight handoff defeats the purpose.

Each Smart Pod brings product, architecture, engineering, quality, DevOps, and system expertise into one team. Agents handle more execution. The right person can settle a tradeoff, resolve an exception, or approve the next move before the work loses a day.

System Team

  • Scrum Master
  • UI/UX Designer
  • Software Architect
  • Test Lead
  • DevOps Eng

Smart Pods

  • Product Engineer
  • Agentic Software Engineer(s)
  • Agentic Quality Engineer(s)

Specialized AI Agents

  • Agent Orchestrator
  • Frontend Coding
  • API Coding
  • Functional Testing
  • DevOps

How we turn specs into outcomes

01

Define the outcome


Set what the software should accomplish and what counts as done.

02

Specify the work


Turn business intent into architecture and defined work for people and agents.

03

Execute in parallel


Run more of the work at the same time instead of waiting for one step to finish before another can start.

04

Validate and release


Review the evidence, resolve exceptions, and approve what ships.

Agentic engineering on your terms

Keep the technologies your organization has already approved, use a Softtek-managed delivery service powered by FRIDA, or combine both.

Cliente 1 Cliente 2 Cliente 3 Cliente 4 Cliente 5

Enable agentic software engineering with FRIDA ASE

FRIDA ASE provides an implementation-ready foundation for agentic software engineering across the lifecycle. Includes:

  • Orchestration

  • Specialized agents

  • Enterprise memory

  • SDLC accelerators

  • Modernization suite

  • DevSecOps controls

  • Traceability & FinOps

FRIDA ASE can connect with approved repositories, agentic harnesses, skills, and policies, or provide only the capabilities the engagement needs.

See how FRIDA powers Agentic Software Engineering ➜

WHITE PAPER

AI-Driven Development: the new era of code


Explore the new era of code



Manufacturing Leadership Council

"Large enough to scale, small enough to care."

Senior Director, Commercial Applications, Consumer Goods

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Manufacturing Leadership Council

"5-star partner for custom development."

Vice President, Engineering and Architecture, IT Services

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Manufacturing Leadership Council

"Trust Softtek to scale your custom software development, you will see excellent results."

VP, Product Management, Services

Read full review
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Proven outcomes across the software lifecycle

Software quality

40-80% fewer defects*

Delivery speed

50% shorter delivery cycles*

Efficiency

30-40% less effort across coding, functional testing, and defect fixing*

*Results reflect selected enterprise software delivery implementations and comparisons against applicable benchmarks or baseline conditions. Actual performance varies by project scope, complexity, architecture, and delivery environment.

VIDEO CASE STUDY
VIDEO CASE STUDY
VIDEO CASE STUDY

Success stories

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Frequently asked questions

What is Agentic Software Engineering?

Agentic Software Engineering is a delivery model in which AI agents execute more work across the software lifecycle while engineers remain responsible for intent, architecture, quality, acceptance, and release. Softtek applies the model across product engineering, platform and integration work, modernization, and AI-integrated products.

How is ASE different from giving developers an AI coding assistant?

A coding assistant helps an individual complete a task. ASE changes how work moves across the team. Specifications, code, tests, documentation, security checks, and delivery evidence are coordinated through one model, with Smart Pods directing agents and owning the result.

Do we need to use FRIDA or replace our engineering stack?

No. Softtek can work within the platforms, repositories, pipelines, and governance standards your organization already approves. Smart Pods can work with those technologies, with FRIDA ASE providing the agentic delivery foundation, or through a hybrid setup. When FRIDA ASE is used, it comes as part of the engineering service rather than as another platform for you to license and maintain.

How does ASE work within enterprise security, governance, and AI cost controls?

ASE works inside the access, security, data-handling, residency, and change controls your organization has approved. Agents operate within defined permissions, while specifications, code, tests, security findings, approvals, and releases remain traceable. People authorize production releases and any increase in autonomy.

AI usage is governed too. Softtek matches models to the task and keeps consumption and cost visible instead of defaulting to the most powerful model every time. When FRIDA powers the engagement, client code and data ground execution at runtime and are not used to train public foundation models.

How do we prove ASE is improving delivery before we scale it?

Start with a bounded but consequential part of the current roadmap. Establish a baseline for cycle time, wait time, rework, quality, cost, and the product or business result the work supports. Then define what “done” means and capture evidence from the delivery environment as the work moves.

The measures have to be read together. Faster coding with twice the rework isn’t progress. Scale only what holds up. The point is to measure the delivery system, not individual engineers.

Start with one aspect of delivery worth improving.