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EKVUD, Ukrainian IT system integrator

From AI plan to AI platform

EKVUD, a Ukrainian IT system integrator with deep expertise in the country’s PROZORO public procurement platform, wanted to scale tender processing capacity without expanding the team. Moterra delivered a Rapid AI Assessment - then followed through: two Business AI Suite assistants are now live with EKVUD’s specialist team.

Client EKVUD Sector IT system integration - procurement automation Scale Ukraine-based SMB, established 2007 Solution Rapid AI Assessment, then Business AI Suite in production
What they got
Three models tested On Ukrainian tender data Nova Pro, Nova Lite and Claude 4 Sonnet compared on real PROZORO scenarios - correctness, Ukrainian-language comprehension, technical-terminology recognition, latency and cost per query.
Working sandbox From day one Document analysis, tender comparison, form completion and success prediction prototyped inside Moterra Business AI Suite during the engagement.
Plan to platform Two assistants live Internal Knowledge and Content Writing Assistants now used by EKVUD’s specialist team - the assessment plan turned into working capability.
01

The situation

EKVUD is a Ukrainian IT system integrator with 16 years of market presence and deep expertise in PROZORO, the country’s public procurement platform. The core bottleneck was manual: reviewing tenders, comparing requirements, completing forms and predicting bid success all consumed significant team capacity - and grew linearly with volume. Leadership wanted to unlock scale through AI, not through hiring.

02

What they needed

Answers to the questions that shape any high-volume automation initiative.

Which foundation model performs best on Ukrainian-language tender documents with heavy technical terminology?Where in the tender workflow does AI create the most leverage - analysis, matching, form filling, bid prediction?What does a resilient PROZORO integration look like?How do we roll this out without disrupting active tender pipelines?
03

What Moterra delivered

A Rapid AI Assessment scoped to EKVUD’s context, with language performance treated as a first-class benchmark rather than an afterthought.

Interviews and readiness reviewStakeholder interviews plus an organisational AI readiness review.
Use case prioritisationAutomated document analysis, tender comparison, form completion and bid-success prediction.
Comparative model benchmarkingWith particular attention to Ukrainian-language comprehension and technical-terminology recognition - the factors generic evaluations miss.
Solution architecture on AWSPROZORO API integration, event-driven document processing, Textract-based data extraction and full audit-trail compliance.
Risk matrixPROZORO API changes, model accuracy, adoption resistance and data security.

Beyond the assessment, Moterra deployed Business AI Suite for EKVUD’s specialist team: the Internal Knowledge Assistant surfaces answers across the company’s own knowledge base and PROZORO reference data, and the Content Writing Assistant accelerates drafting of tender documentation and submissions. The same platform served as the sandbox during the engagement, so every use case was validated against real Ukrainian tender data before it went live.

04

The outcome

EKVUD’s leadership got both: a defensible AI plan grounded in evidence, and a live platform running two assistants that scale tender processing capacity without scaling the team.

Assessment to production

Most assessments end at the recommendation. This one continued into deployment, which is the only point at which a plan starts returning anything.

Questions

Frequently asked questions

What problem did EKVUD need to solve?

EKVUD is a Ukrainian IT system integrator with 16 years of market presence and deep expertise in PROZORO, the country’s public procurement platform. The core bottleneck was manual: reviewing tenders, comparing requirements, completing forms and predicting bid success all consumed significant team capacity - and grew linearly with volume. Leadership wanted to unlock scale through AI, not through hiring.

What did Moterra deploy for EKVUD?

A Rapid AI Assessment scoped to EKVUD’s context, with language performance treated as a first-class benchmark rather than an afterthought.

What results did EKVUD see?

EKVUD’s leadership got both: a defensible AI plan grounded in evidence, and a live platform running two assistants that scale tender processing capacity without scaling the team.

Where does the deployment run?

Inside the client’s own cloud tenant, in the region they choose. The deployment is Private Claude Cowork by Moterra, with admin, MDM and governance handled by Moterra AI Bridge. Moterra builds in AWS and Azure, operates as a data processor under a DPA covering UK and EU GDPR, and the stack is ISO 27001 and ISO 42001 certified across the AWS and Anthropic layers.

How long does a deployment like this take?

Standard deployment is typically live within one to two weeks, covering environment and region setup, the identity path from your SSO, managed configuration through your MDM, and the connector allowlist.

Read the deployment behind this story: Private Claude Cowork by Moterra for the environment itself, and Moterra AI Bridge for the admin, MDM, plugin and agent layer around it.

Amanda Uzialaite Written by Amanda Uzialaite CMO at Moterra. More about the team.
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Moterra Claude Partner Network - Select Services Partner

Moterra is a private AI deployment company and a Select Services Partner in the Claude Partner Network. We help businesses deploy Claude inside their own AWS or Azure environment, connect it to the tools they already use, and keep it secure and governed, so everyday processes get faster.

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