Generative AI development services

The opportunity

Create with context.
Review with care.

A fluent answer can still be incorrect. Generative products need grounded context, output boundaries, and comfortable review rather than hidden uncertainty.

Start with the people doing the work.

We consider people generating drafts or ideas and the reviewers who decide whether an output is suitable. Their tasks shape the scope, interface, and review priorities.

Make the decisions reviewable.

Agree the first useful outcome, responsibilities, and dependencies. Review a concrete direction before expanding the work.

01 / THE DECISION

Supply the context

Source grounding is part of the review. This local concept shows a possible interface, not a live service.

What we can build together

Generative AI.
Connected.

Define copilot experiences, grounded generation, output evaluation around the people using your product and the team responsible for it.

01 / Generative AI

Copilot experiences

Define the content task, permitted sources, output format, and review responsibilities. Establish examples of acceptable and unacceptable drafts.

Supply the context · Source grounding

02 / Generative AI

Grounded generation

Build prompt, retrieval, and model connections around the chosen workflow. Explain limitations and offer useful recovery when a response cannot be supported.

Generate a draft · Output suitability

03 / Generative AI

Output evaluation

Evaluate output quality, source accuracy where relevant, and failure cases. Prepare versioning and operating notes for prompts, models, and supporting content.

Review & refine · Sensitive data

From intention to experience

The thinking
behind the feeling.

01 / CONTEXT

Understand the context.

Start with people generating drafts or ideas and the reviewers who decide whether an output is suitable. Define the content task, permitted sources, output format, and review responsibilities. Establish examples of acceptable and unacceptable drafts. We agree the first useful outcome and the information needed to review it.

02 / CONNECTION

Connect the useful parts.

Build prompt, retrieval, and model connections around the chosen workflow. Explain limitations and offer useful recovery when a response cannot be supported.

03 / EXPERIENCE

Make it work for people.

Evaluate output quality, source accuracy where relevant, and failure cases. Prepare versioning and operating notes for prompts, models, and supporting content. The review focuses on source grounding, output suitability, sensitive data.

CONTEXT / 01A shared brief defines the work.

CONNECTION / 02The workflow makes responsibilities visible.

EXPERIENCE / 03Review the experience through the actual task.

Scroll / The detail comes togetherPurpose → Product

Ideas made tangible

A closer look.
A different perspective.

Explore original ai & automation concepts. These visual studies show how considered interfaces and relevant imagery can bring an idea into focus.

01 / THE POSSIBILITY

Create more. Stay in control.

Generative AI development for copilots, content tools, and knowledge experiences with a purpose. We connect models to your information and give people practical ways to review, edit, and improve results.

Explore the thinking

Generative AI

Copilot experiences

Grounded generation

Output evaluation

CONNECTED FROM THE FIRST IDEA

02 / IN ITS ELEMENT

Generative AI.
A new perspective.

ORIGINAL STUDIO EXPLORATION

03 / Context

Copilot experiences

Define the content task, permitted sources, output format, and review responsibilities. Establish examples of acceptable and unacceptable drafts.

● ● ●Generative AI

Context / DEFINED

Define the content task

permitted sources

Model APIs

VOD / CONTEXT STUDY

04 / Model

Grounded generation

Build prompt, retrieval, and model connections around the chosen workflow. Explain limitations and offer useful recovery when a response cannot be supported.

Build prompt

retrieval

model connections around the chosen workflow

VOD / MODEL STUDY

05 / Human review

Output evaluation

Evaluate output quality, source accuracy where relevant, and failure cases. Prepare versioning and operating notes for prompts, models, and supporting content.

Human review

Evaluate output quality

source accuracy where relevant

failure cases

VOD / HUMAN REVIEW STUDY

Illustrative studio concepts. Created to explore generative ai, without claiming client outcomes.

How we work

Generative AI process.
Clear at every step.

Our generative ai process keeps decisions visible. Explore the phases below to see how the work moves from the first question to a useful handover.

EXPLORE THE DELIVERY PHASES01 / 04

CONTEXT / 01

Find the right starting point.

A fluent answer can still be incorrect. Generative products need grounded context, output boundaries, and comfortable review rather than hidden uncertainty.

WHAT YOU TAKE FORWARD

An agreed problem, a practical scope, and a shared definition of progress.

The foundations

Technologies for your project.
Lasting decisions.

We select technologies and platforms for the requirements of your generative ai project. Explore the options below; a tool earns its place by serving the work.

THE ARCHITECTURE DESKSELECT A TOOL TO INSPECT

YOUR PRODUCT / CONNECTED BY DESIGN

CONNECTED TOOL / 01

Model APIs

A focused part of the wider system.

Connect the relevant workflow to clear inputs, practical controls, and reviewable outputs.

Where it fits

Reviewed for copilot experiences in your generative ai project.

What we validate

Compatibility with existing systems, performance needs, integration boundaries, and team skills.

What you own

Documented setup, dependencies, licences, and a clear path for your team to maintain the work.

SELECTED DURING DISCOVERY · VALIDATED BEFORE DELIVERY

Prepare your project with our ai workflow automation planning guide.

A little clarity

Generative AI FAQs.
Before we begin.

Useful answers about generative ai, scope, collaboration, and what happens next.

Let’s talk

Share the goal, current environment and the people who will use or maintain the result. Include relevant examples and constraints covering document formats, permissions, retrieval needs, model-provider limits, evaluation and source-update workflows. We use that context to identify a reviewable starting point and any discovery needed before committing to a larger scope.

The proposal defines the outcome, deliverables, exclusions and review milestones before implementation. For this service, the scope can cover copilot experiences, grounded generation, output evaluation. Define the content task, permitted sources, output format, and review responsibilities. Establish examples of acceptable and unacceptable drafts. Your team supplies the approved information and access needed for the agreed work. We serve USA and Canada businesses and agree communication and review arrangements around your team's availability.

Where permissions and source quality allow, retrieval can supply relevant document passages to a model. We define ingestion, indexing, access rules and how references are shown. Evaluation includes questions the sources cannot answer, conflicting documents and inappropriate requests. Retrieval does not eliminate incorrect output; uncertain answers and sensitive actions need defined review or escalation. Usage costs and source updates have assigned owners.

We estimate after reviewing document formats, permissions, retrieval needs, model-provider limits, evaluation and source-update workflows. A focused first release can resolve the highest-priority task while later requirements remain visible. The proposal records costs, milestones, client inputs and third-party charges. Missing access, delayed approvals or new requirements can change the schedule; scope changes are discussed before additional work begins. Share your current systems, priorities, budget range and desired date so the estimate reflects your project.

Evaluate output quality, source accuracy where relevant, and failure cases. Prepare versioning and operating notes for prompts, models, and supporting content. Review priorities include source grounding, output suitability, sensitive data. Ownership, source files, licences, account access and transfer conditions are defined in the agreement. Ongoing maintenance, monitoring or additional development is scoped separately, with support coverage and response arrangements confirmed in writing.

How do we prepare to discuss generative ai?: Share the goal, current environment and the people who will use or maintain the result. Include relevant examples and constraints covering document formats, permissions, retrieval needs, model-provider limits, evaluation and source-update workflows. We use that context to identify a reviewable starting point and any discovery needed before committing to a larger scope.
What is included in your generative ai engagement?: The proposal defines the outcome, deliverables, exclusions and review milestones before implementation. For this service, the scope can cover copilot experiences, grounded generation, output evaluation. Define the content task, permitted sources, output format, and review responsibilities. Establish examples of acceptable and unacceptable drafts. Your team supplies the approved information and access needed for the agreed work. We serve USA and Canada businesses and agree communication and review arrangements around your team's availability.
Can a generative AI assistant answer using our own approved documents?: Where permissions and source quality allow, retrieval can supply relevant document passages to a model. We define ingestion, indexing, access rules and how references are shown. Evaluation includes questions the sources cannot answer, conflicting documents and inappropriate requests. Retrieval does not eliminate incorrect output; uncertain answers and sensitive actions need defined review or escalation. Usage costs and source updates have assigned owners.
What affects the cost and timeline of a generative ai project?: We estimate after reviewing document formats, permissions, retrieval needs, model-provider limits, evaluation and source-update workflows. A focused first release can resolve the highest-priority task while later requirements remain visible. The proposal records costs, milestones, client inputs and third-party charges. Missing access, delayed approvals or new requirements can change the schedule; scope changes are discussed before additional work begins. Share your current systems, priorities, budget range and desired date so the estimate reflects your project.
What will our team receive when the generative ai work is delivered?: Evaluate output quality, source accuracy where relevant, and failure cases. Prepare versioning and operating notes for prompts, models, and supporting content. Review priorities include source grounding, output suitability, sensitive data. Ownership, source files, licences, account access and transfer conditions are defined in the agreement. Ongoing maintenance, monitoring or additional development is scoped separately, with support coverage and response arrangements confirmed in writing.

A sculptural silver ribbon opens a path through a digital valley

A little ambition goes a long way

Let’s make
what’s next.

Tell us what you want to change. We’ll explore how generative ai can support your goals and define a practical starting point.

generative AI development services — Create more. Stay in control.