AI AUTOMATION TEAM

AI agents, designed around your team workflow

AI agents, designed around your team workflow

AI agents, designed around your team workflow

Turn scattered tools and disconnected knowledge into intelligent workflows designed for the way your people already work.

Trusted by

THE GAP

Your team is ready for AI. Your workflows just need to catch up.

Your team is ready for AI. Your workflows just need to catch up.

Your team is ready for AI. Your workflows just need to catch up.

Most companies already have the tools, data, and ambition to use AI. What they do not have is a clear operational layer that connects everything: people, processes, knowledge, approvals, and automation.

Manual decisions

Fragmented tools

No clear ownership

Slow implementation

Hard to scale

Disconnected knowledge

Floor
Floor
Data Flow
Data Flow
Data Flow, AI
Data Flow, AI
Data Flow
Data Flow
Pearl ball
Shadow
Men
Page
Data Flow
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Pearl ball

Fragmented tools

No clear ownership

Slow implementation

Manual decisions

Hard to scale

Disconnected knowledge

Floor
Shadow
Data Flow
Data Flow
Data Flow, AI
Data Flow, AI
Pearl ball
Pearl ball
Men
Page
Data Flow
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Pearl ball
Data Flow
Pearl ball
Pearl ball

OUR APPROACH

We design AI systems around your team — not the other way around.

We design AI systems around your team — not the other way around.

We design AI systems around your team — not the other way around.

Oqua helps turn your existing people, tools, and workflows into practical AI operations — designed around how your organization already works.

Human-led

AI should support the people closest to the work. Every system we design keeps human judgment, review, and accountability at the center.

Pearl ball

Human-led

AI should support the people closest to the work. Every system we design keeps human judgment, review, and accountability at the center.

Pearl ball

Human-led

AI should support the people closest to the work. Every system we design keeps human judgment, review, and accountability at the center.

Pearl ball

Workflow-first

Before building agents, we map how work moves through your team: inputs, decisions, dependencies, approvals, and outcomes.

Pearl ball

Workflow-first

Before building agents, we map how work moves through your team: inputs, decisions, dependencies, approvals, and outcomes.

Pearl ball

Workflow-first

Before building agents, we map how work moves through your team: inputs, decisions, dependencies, approvals, and outcomes.

Pearl ball

Built for adoption

The best AI system is the one your team actually uses. We focus on clarity, trust, and practical integration from day one.

Pearl ball

Built for adoption

The best AI system is the one your team actually uses. We focus on clarity, trust, and practical integration from day one.

Pearl ball

Built for adoption

The best AI system is the one your team actually uses. We focus on clarity, trust, and practical integration from day one.

Pearl ball

We move from discovery to implementation through a clear process that helps your team understand what to automate, what to keep human, and how to make AI useful in daily work.

We move from discovery to implementation through a clear process that helps your team understand what to automate, what to keep human, and how to make AI useful in daily work.

We move from discovery to implementation through a clear process that helps your team understand what to automate, what to keep human, and how to make AI useful in daily work.

Headshot of Head of Product

Daniel Reyes

Daniel Reyes

Head of Product

Head of Product

Pearl ball image
Pearl ball image

OUR PROCESS

From workflow audit to deployed AI operations

From workflow audit to deployed AI operations

From workflow audit to deployed AI operations

We move from discovery to implementation through a clear process that helps your team understand what to automate, what to keep human, and how to make AI useful in daily work.

We move from discovery to implementation through a clear process that helps your team understand what to automate, what to keep human, and how to make AI useful in daily work.

Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration
Working process abstract illustration

  • Audit

    We start by understanding how your team works today: tools, tasks, handoffs, decisions, bottlenecks, documents, and repeated actions.

    Pearl ball logo

    Bottlenecks

    Task flows

    Tools & systems

    Team handoffs

    Audit

    We start by understanding how your team works today: tools, tasks, handoffs, decisions, bottlenecks, documents, and repeated actions.

    Pearl ball logo

    Bottlenecks

    Audit

    We start by understanding how your team works today: tools, tasks, handoffs, decisions, bottlenecks, documents, and repeated actions.

    Pearl ball logo

    Bottlenecks

    Task flows

    Tools & systems

    Team handoffs

  • Design

    We define what agents should do, what humans should review, where data comes from, and how the system should behave in edge cases.

    Pearl ball logo

    Workflow map

    Agent roles

    Human review

    Data sources

    Edge cases

    Design

    We define what agents should do, what humans should review, where data comes from, and how the system should behave in edge cases.

    Pearl ball logo

    Workflow map

    Human review

    Risk areas

    Design

    We define what agents should do, what humans should review, where data comes from, and how the system should behave in edge cases.

    Pearl ball logo

    Workflow map

    Agent roles

    Human review

    Data sources

    Edge cases

  • Build

    We connect tools, structure data, configure automations, and build AI agents that support the selected workflows.

    Pearl ball logo

    Working AI workflow

    Review loops

    Сonnected tools

    Automation triggers use cases

    Build

    We connect tools, structure data, configure automations, and build AI agents that support the selected workflows.

    Pearl ball logo

    Working AI workflow

    Review loops

    Сonnected tools

    Automation triggers use cases

    Build

    We connect tools, structure data, configure automations, and build AI agents that support the selected workflows.

    Pearl ball logo

    Working AI workflow

    Review loops

    Сonnected tools

    Automation triggers use cases

  • Deploy and Improve

    We test the system in real scenarios, train your team, refine behavior, and make sure the workflow fits daily operations.

    Pearl ball logo

    Usage guidance

    Team onboarding

    Launch checklist

    Live system

    Deploy and Improve

    We test the system in real scenarios, train your team, refine behavior, and make sure the workflow fits daily operations.

    Pearl ball logo

    Usage guidance

    Team onboarding

    Live system

    Launch checklist

    Live system

    Deploy and Improve

    We test the system in real scenarios, train your team, refine behavior, and make sure the workflow fits daily operations.

    Pearl ball logo

    Usage guidance

    Team onboarding

    Launch checklist

    Live system

THE TEAM BEHIND THE PROCESS

Meet the Visionaries

Meet the Visionaries

Meet the Visionaries

We bring together AI strategists, workflow designers, automation specialists, data engineers, and implementation partners to help your team move from idea to adoption.

We bring together AI strategists, workflow designers, automation specialists, data engineers, and implementation partners to help your team move from idea to adoption.

03

Daniel Mercer

Automation Architect

Daniel builds the technical architecture behind Oqua’s automation systems, connecting tools, platforms, and business processes into reliable workflows. His work helps teams reduce manual tasks, improve operational speed, and create systems that can grow smoothly as the company scales.

Headshot

03

Daniel Mercer

Automation Architect

Daniel builds the technical architecture behind Oqua’s automation systems, connecting tools, platforms, and business processes into reliable workflows. His work helps teams reduce manual tasks, improve operational speed, and create systems that can grow smoothly as the company scales.

Headshot

03

Daniel Mercer

Automation Architect

Daniel builds the technical architecture behind Oqua’s automation systems, connecting tools, platforms, and business processes into reliable workflows. His work helps teams reduce manual tasks, improve operational speed, and create systems that can grow smoothly as the company scales.

Headshot

02

Sophie Laurent

Workflow Design Lead

Sophie designs thoughtful workflows that make advanced automation feel simple and intuitive. She works closely with teams to understand their daily processes, remove friction, and create human-centered systems that are easy to use, easy to explain, and ready to improve over time.

Headshot

02

Sophie Laurent

Workflow Design Lead

Sophie designs thoughtful workflows that make advanced automation feel simple and intuitive. She works closely with teams to understand their daily processes, remove friction, and create human-centered systems that are easy to use, easy to explain, and ready to improve over time.

Headshot

02

Sophie Laurent

Workflow Design Lead

Sophie designs thoughtful workflows that make advanced automation feel simple and intuitive. She works closely with teams to understand their daily processes, remove friction, and create human-centered systems that are easy to use, easy to explain, and ready to improve over time.

Headshot

05

Clara Stein

Client Strategy Director

Clara works with clients to turn broad business challenges into focused implementation strategies. She helps identify the right automation opportunities, align them with team goals, and create clear roadmaps that move projects from uncertainty to confident execution.

Headshot

05

Clara Stein

Client Strategy Director

Clara works with clients to turn broad business challenges into focused implementation strategies. She helps identify the right automation opportunities, align them with team goals, and create clear roadmaps that move projects from uncertainty to confident execution.

Headshot

05

Clara Stein

Client Strategy Director

Clara works with clients to turn broad business challenges into focused implementation strategies. She helps identify the right automation opportunities, align them with team goals, and create clear roadmaps that move projects from uncertainty to confident execution.

Headshot

01

Elena Voss

Founder, CTO

Elena leads Oqua’s product vision and technical direction, guiding the team from early ideas to scalable AI solutions. She focuses on turning complex automation opportunities into clear, practical systems that help businesses work faster, make better decisions, and adopt new technology with confidence.

01

Elena Voss

Founder, CTO

Elena leads Oqua’s product vision and technical direction, guiding the team from early ideas to scalable AI solutions. She focuses on turning complex automation opportunities into clear, practical systems that help businesses work faster, make better decisions, and adopt new technology with confidence.

01

Elena Voss

Founder, CTO

Elena leads Oqua’s product vision and technical direction, guiding the team from early ideas to scalable AI solutions. She focuses on turning complex automation opportunities into clear, practical systems that help businesses work faster, make better decisions, and adopt new technology with confidence.

04

Martin Hale

Data Engineering Lead

Martin develops the data foundations that make AI and automation systems accurate, stable, and useful in real business environments. He helps teams structure scattered information, improve data flow, and create trusted context that supports smarter decisions and better automated outcomes.

Headshot

04

Martin Hale

Data Engineering Lead

Martin develops the data foundations that make AI and automation systems accurate, stable, and useful in real business environments. He helps teams structure scattered information, improve data flow, and create trusted context that supports smarter decisions and better automated outcomes.

Headshot

04

Martin Hale

Data Engineering Lead

Martin develops the data foundations that make AI and automation systems accurate, stable, and useful in real business environments. He helps teams structure scattered information, improve data flow, and create trusted context that supports smarter decisions and better automated outcomes.

Headshot

06

Adrian Cruz

Implementation Partner

Adrian brings approved strategies and automation concepts into real working systems. He supports implementation from setup to adoption, making sure each solution fits the client’s tools, team habits, and daily operations while staying practical, reliable, and easy to maintain.

Headshot

06

Adrian Cruz

Implementation Partner

Adrian brings approved strategies and automation concepts into real working systems. He supports implementation from setup to adoption, making sure each solution fits the client’s tools, team habits, and daily operations while staying practical, reliable, and easy to maintain.

Headshot

06

Adrian Cruz

Implementation Partner

Adrian brings approved strategies and automation concepts into real working systems. He supports implementation from setup to adoption, making sure each solution fits the client’s tools, team habits, and daily operations while staying practical, reliable, and easy to maintain.

Headshot

Ready to build AI operations around your team?

Ready to build AI operations around your team?

Ready to build AI operations around your team?

Start with a focused workflow audit and discover where AI can create real operational value.

Data abstract image

CASE STUDIE 1

Healthcare operations team

A healthcare operations team needed a better way to process incoming requests, summarize context, and route work to the right people. We designed an AI-assisted workflow with human review points and clear escalation paths.

Results

42%

Faster request triage

3

Internal systems connected

12

Manual workflow steps automated

CASE STUDIE 1

Healthcare operations team

A healthcare operations team needed a better way to process incoming requests, summarize context, and route work to the right people. We designed an AI-assisted workflow with human review points and clear escalation paths.

Results

42%

Faster request triage

3

Internal systems connected

12

Manual workflow steps automated

Data abstract image

CASE STUDIE 1

Healthcare operations team

A healthcare operations team needed a better way to process incoming requests, summarize context, and route work to the right people. We designed an AI-assisted workflow with human review points and clear escalation paths.

Results

42%

Faster request triage

3

Internal systems connected

12

Manual workflow steps automated

CASE STUDIE 2

B2B operations team

An operations team was losing hours every week to manual updates, follow-ups, and task routing. We mapped the process and built automations that generated summaries, assigned next steps, and flagged exceptions.

Results

35%

Fewer missed handoffs

8

Hours saved per week

4

teams connected through one workflow

CASE STUDIE 2

B2B operations team

An operations team was losing hours every week to manual updates, follow-ups, and task routing. We mapped the process and built automations that generated summaries, assigned next steps, and flagged exceptions.

Results

35%

Fewer missed handoffs

8

Hours saved per week

4

teams connected through one workflow

CASE STUDIE 2

B2B operations team

An operations team was losing hours every week to manual updates, follow-ups, and task routing. We mapped the process and built automations that generated summaries, assigned next steps, and flagged exceptions.

Results

35%

Fewer missed handoffs

8

Hours saved per week

4

teams connected through one workflow

CASE STUDIE 3

Research organization

A research team had valuable information spread across reports, notes, transcripts, and shared drives. We structured their knowledge layer and created AI workflows for summarization, comparison, and retrieval.

Results

60%

Less time spent searching for context

1

Centralized research knowledge system

5

Active project libraries connected

CASE STUDIE 3

Research organization

A research team had valuable information spread across reports, notes, transcripts, and shared drives. We structured their knowledge layer and created AI workflows for summarization, comparison, and retrieval.

Results

60%

Less time spent searching for context

1

Centralized research knowledge system

5

Active project libraries connected

CASE STUDIE 3

Research organization

A research team had valuable information spread across reports, notes, transcripts, and shared drives. We structured their knowledge layer and created AI workflows for summarization, comparison, and retrieval.

Results

60%

Less time spent searching for context

1

Centralized research knowledge system

5

Active project libraries connected

CASE STUDIE 4

Client services team

A client services team managed onboarding through disconnected forms, emails, documents, and internal messages. We created a connected workflow that collected information, prepared project briefs, assigned responsibilities, and tracked missing inputs.

Results

50%

Faster client onboarding

6

Manual coordination steps automated

2

Days removed from project setup time

CASE STUDIE 4

Client services team

A client services team managed onboarding through disconnected forms, emails, documents, and internal messages. We created a connected workflow that collected information, prepared project briefs, assigned responsibilities, and tracked missing inputs.

Results

50%

Faster client onboarding

6

Manual coordination steps automated

2

Days removed from project setup time

CASE STUDIE 4

Client services team

A client services team managed onboarding through disconnected forms, emails, documents, and internal messages. We created a connected workflow that collected information, prepared project briefs, assigned responsibilities, and tracked missing inputs.

Results

50%

Faster client onboarding

6

Manual coordination steps automated

2

Days removed from project setup time

WHAT TEAMS SAY

Built for teams that need practical AI, not hype

Built for teams that need practical AI, not hype

Built for teams that need practical AI, not hype

ENGAGEMENTS

Flexible support for every stage of your AI operations journey

Flexible support for every stage of your AI operations journey

Flexible support for every stage of your AI operations journey

Start with a focused workflow audit or bring us in as a long-term AI implementation partner.

(For teams exploring where to start)

(For teams exploring where to start)

AI Workflow Audit

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow review

Tool and data assessment

Automation map

Risk scoring

Implementation roadmap

AI Workflow Audit

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow review

Tool and data assessment

Automation map

Risk scoring

Implementation roadmap

AI Workflow Audit

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow review

Tool and data assessment

Automation map

Risk scoring

Implementation roadmap

(For teams exploring where to start)

(For teams exploring where to start)

AI Operations Sprint

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

AI Operations Sprint

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

AI Operations Sprint

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

(For teams exploring where to start)

(For teams exploring where to start)

AI Operations Partner

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

AI Operations Partner

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

AI Operations Partner

A focused engagement to map your workflows, identify automation opportunities, and prioritize realistic AI use cases.

Workflow discovery

Tool and data review

Automation map

Risk scoring

Implementation roadmap

BLOG HUB

Ideas, lessons, and field notes from the work.

Ideas, lessons, and field notes from the work.

Ideas, lessons, and field notes from the work.

Practical thinking on AI operations, workflow design, automation, and building systems teams can trust.

View All Posts
Data Flow, AI Agents

Where AI Actually Fits in Your Workflow

A framework for identifying automatable tasks—and those requiring human judgment.

Data Flow, AI Agents

Where AI Actually Fits in Your Workflow

A framework for identifying automatable tasks—and those requiring human judgment.

Data Flow, AI Agents

Designing Human Review Into AI Systems

How to add approvals, escalation paths, and safeguards without slowing the entire workflow down.

Data Flow, AI Agents

Designing Human Review Into AI Systems

How to add approvals, escalation paths, and safeguards without slowing the entire workflow down.

Data Flow, AI Agents

Buildings Trust Through Clear Design

How thougful visual choices create a stronger sense of reliability for modern brand.

Data Flow, AI Agents

Buildings Trust Through Clear Design

How thougful visual choices create a stronger sense of reliability for modern brand.

See how we shape brands with clarity and craft - explore our blog

View All Posts
Data Flow, AI Agents

Where AI Actually Fits in Your Workflow

A framework for identifying automatable tasks—and those requiring human judgment.

See how we shape brands with clarity and craft - explore our blog

View All Posts

LET'S CONNECT

Get in touch with us

Get in touch with us

Get in touch with us

Start with a focused workflow audit and discover where AI can create real operational value.

Adress

Adress

Museumplein 6, 1071 DJ Amsterdam, Netherlands

Phone

Phone

+31 20 123 6754

Email

Email

haidutski@gmail.com

haidutski@gmail.com

Send us a Message

Pearl Ball Image

“Oqua helped us identify where AI could genuinely improve our operations. The greatest value was not just automation, but the clarity we gained around our workflows and priorities.”

Daniel Reyes

Head of Product

QUESTIONS

Clear answers before you take the next step.

Clear answers before you take the next step.

Clear answers before you take the next step.

Learn how we identify the right opportunities, design reliable workflows, and move from early ideas to everyday operations.

Where should our team start with AI?

Which workflows are best suited for AI?

Do we need to replace our existing tools?

Usually not. We design workflows around the systems your team already uses whenever possible. This may include connecting CRMs, shared drives, inboxes, databases, project tools, and internal platforms into one coordinated process.

How do you keep people involved in the process?

How long does an engagement usually take?

How do we begin working together?

Where should our team start with AI?

Which workflows are best suited for AI?

Do we need to replace our existing tools?

Usually not. We design workflows around the systems your team already uses whenever possible. This may include connecting CRMs, shared drives, inboxes, databases, project tools, and internal platforms into one coordinated process.

How do you keep people involved in the process?

How long does an engagement usually take?

How do we begin working together?

Data abstract image
Data abstract image
Text Oqua logo
Text Oqua logo
Data abstract image
Data abstract image
Data abstract image
Data abstract image
Pearl Ball image
Waves Data image
Waves Data image
Shadow
Person
Data abstract image
Data abstract image

Create a free website with Framer, the website builder loved by startups, designers and agencies.