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Built for the industries that get
checked the hardest

Most enterprises now have AI in production. Fewer can say, with confidence, that it's built
right, tested, well run and producing numbers they'd defend.

Agentic Engineering

Is AI part of how your software gets built,
or added afterwards?

Agents review, test and document inside the
lifecycle, so delivery speeds up without the
bottlenecks moving somewhere else.
Talk to an engineer
Enterprise Trust Assurance

Can you prove your AI still behaves
the way it did at launch?

Tests generated against your live suite,
and your models and agents tested in production, so
coverage keeps pace with every release.
Talk to an engineer
Intelligent Managed Services

When something breaks, does the person
fixing it know why it was built that way?

The team that built the platform runs it,
and automates more of the routine each year.
Talk to an engineer
AI & Analytics

Are your decisions driven by intelligence,
or by last month's report?

Data foundations one team owns end to end,
with machine learning, generative AI and
predictive models turning them into intelligence
your teams can act on and defend.
Talk to an engineer

How we solve your enterprise AI challenges

Four things you gain, wherever your AI stands today.

Four services. One chain that holds.

Each strengthens a link the others rely on. Together they give you AI you can build, ship, run and defend.

AI by industry

Audit & Tax

BFSI

Healthcare & Life Sciences

Technology

Results clients can defend

Big Four professional services firm: audit platform

A Big Four professional services firm.

A digital audit platform used by around 8,000 auditors across 10,000 engagements. 30% less documentation effort, 25% better auditor experience, 20% fewer nonstandard activities.

A global professional services network.

An assessment platform re-architected for multi-cloud. 40% faster performance, 25% faster decisions through self-service
reporting.

"They made AI part of how our platform works, something our auditors
rely on and we can explain to our own clients."
Director, a global professional services firm

Start small.
Grow on results.

Start with one team or one project, and expand as the results come in.

Skill augmentation.

Add our engineers to your
team and see the work
first-hand.

Gain trust

POD-based delivery.

Hand us a defined piece
of work, delivered by a
team that owns it.

Being Responsible

Outcome-based.

Agree a measurable result
and fixed costs, then hold us
to the number.

Become Accountable

Is your AI ready to scale?

A complimentary assessment of one AI initiative, whether it's a
product, a platform or a project, done in two weeks. We look at
how it's built, tested, run and fed with data, then walk you
through what's ready to scale and what to strengthen first.

Get your AI readiness assessment

What you get

A written readout across all four areas,
a prioritized list of next steps, and a
60-minute session with our engineers.

What it takes from you

About three hours of your
team's time.

Insights

Written by the people doing the work

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Top Programming Languages in
2026 for AI, Cloud & Enterprise
Development

A written readout across all four areas, a prioritized list of next steps, and a 60-
minute session with our engineers.

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We Knew Where We Were Going.
We Just Got There Faster.

Five years ago I joined a company that I
believed was creating something truly
worth being part of.

Read More
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Is Robotic Process Automation Still
Worth It? Separating RPA Myths
from Enterprise Reality

A few years ago, the automation
conversation was relatively
straightforward.

Read More

What happens next

1
Our AI practice team reviews your request and matches you with the right engineer.
2
You hear back within one business day.
3
A 30-minute conversation with an engineer about your project.

"Tell us what you're working on. We'll bring the engineers best placed to help you move it forward."

Shine Pushpan

Practice Head,
Digital Product Studio

Let's Discuss

Share your priority. We'll bring the right specialist to it.

What regulated enterprises ask
before bringing us in

Which service should we start with?

Usually the one closest to your most pressing platform problem. If you're unsure, our readiness assessment reviews one platform and shows where AI will help first.

How do you handle data privacy, security and compliance?

We're ISO 27001:2022 certified, and our work is built for regulated environments where outputs get audited. Data handling, access and review points are agreed with you up front.

How is AI consulting different from AI engineering?

Consulting decides where AI fits and where to start. Engineering builds and runs it. We do both with the same team, so the plan and the delivery stay aligned.

Do you work with GCCs as well as enterprises?

Yes. We work with enterprises directly and with their capability centers in India, from standing up a team to owning outcomes.

How is working with you different from a large AI services firm?

You get depth, with SoftServe's 10,000+ engineers behind us, and senior people who stay on your account, with decisions made in days.

Who will actually be working on our platform

[To confirm: the seniority mix you'll stand behind]