WEBZOST AI

WEBZOST AI

WEBZOST AI

Let’s talk

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INDEPENDENT AI DESIGN & DEVELOPMENT

INDEPENDENT AI DESIGN & DEVELOPMENT


We build AI
that works for you.


We build AI
that works for you.


We build AI
that works for you.

Less repetitive work. More room to grow. We design useful AI systems around your people, your tools and the way your business runs.

Less repetitive work. More room to grow. We design useful AI systems around your people, your tools and the way your business runs.

01 / AUTOMATION

Better-connected workflows

01 / AUTOMATION

Better-connected workflows

02 / INTELLIGENCE

Your knowledge, made useful

02 / INTELLIGENCE

Your knowledge, made useful

03 / DELIVERY

Built with people in control

03 / DELIVERY

Built with people in control

SCROLL TO EXPLORE ↓

BUILT AROUND YOUR EXISTING STACK

CRM & sales

Support tools

Knowledge sources

Internal systems

OUR POINT OF VIEW

01 — 06

Technology should give people more room to think, create and do the work that matters.

Technology should give people more room to think, create and do the work that matters.

Technology should give people more room to think, create and do the work that matters.

We connect the intelligence of AI with the judgement of your team. Clear purpose. Considered design. Systems that belong in the real world.

01 / WHAT WE HELP WITH

Useful systems.

Useful systems.

Useful systems.

Real working days.

Real working days.

Real working days.

Start with the work that slows your team down. We help choose what to automate, what to assist and where a person should stay involved.

Start with the work that slows your team down. We help choose what to automate, what to assist and where a person should stay involved.

01 / Workflow automation

Give repetitive work a better route.

Connect intake, validation, approvals and updates across the tools your team already uses.

EXPLORE SERVICE ↗

02 / Knowledge assistants

Useful answers. Traceable sources.

Help your team find approved information without searching through five different tools.

EXPLORE SERVICE ↗

03 / Support copilots

Give your support team a head start.

Prepare grounded draft replies and relevant context while agents stay in control of the customer conversation.

EXPLORE SERVICE ↗

04 / AI product development

Turn a promising idea into a usable product.

Design and build focused AI features around a real user need, with evaluation built into delivery.

EXPLORE SERVICE ↗

05 / AI strategy & discovery

Choose the right problem first.

Find a practical starting point by reviewing workflows, data readiness and the cost of doing nothing.

EXPLORE SERVICE ↗

06 / Evaluation & care

Keep improving after launch.

Monitor useful outcomes, review failures and maintain the systems your team depends on.

EXPLORE SERVICE ↗

Particle sculpture on black background

WEBZOST AI / FIELD STUDY 001

SUPPORT SYSTEMS

FEATURED SOLUTION / ILLUSTRATIVE STUDY

Every conversation.

A better starting point.

A better starting point.

A support copilot that brings scattered policies and order context into one clear review flow.

THE CHALLENGE

Too much searching before the first reply.

THE APPROACH

Ground the draft. Show the source. Keep the agent in control.

WHAT TO MEASURE

Preparation time, corrections and useful completion.

Example solution architecture, not a claim of client delivery or measured business results.

DELIVERY / FROM QUESTION TO CAPABILITY

Built in stages.

Built in stages.

Understood at every step.

Understood at every step.

Understood at every step.

A transparent process with decisions, evidence and a clear operating owner.

A transparent process with decisions, evidence and a clear operating owner.

A transparent process with decisions, evidence and a clear operating owner.

01

DISCOVER

Find the task worth changing.

Find the task worth changing.

Find the task worth changing.

Map the current workflow. Talk to the people doing the work. Check information access and agree a testable outcome.

DELIVERABLE
WORKFLOW MAP / PILOT BRIEF ↗

02

DESIGN

Make the useful path visible.

Prototype the experience, define the system boundaries and decide which actions require a person’s approval.

DELIVERABLE
EXPERIENCE / ARCHITECTURE ↗

03

BUILD & EVALUATE

Test the real-world edges.

Connect the tools and sources. Compare representative cases, review failures and check operating cost as well as output quality.

DELIVERABLE
IMPLEMENTATION / TEST SET ↗

04

LAUNCH & LEARN

A handover, not a hand-wave.

Introduce the workflow gradually. Train the team, document the controls and agree how feedback becomes an improvement.

DELIVERABLE
RUNBOOK / OWNERSHIP ↗

INTELLIGENCE / THE RIGHT TOOL FOR THE TASK

Model agnostic.

Model agnostic.

Model agnostic.

Outcome focused.

Outcome focused.

Outcome focused.

The model is one part of the system. We select it alongside your data, integrations, review requirements and operating budget.

The model is one part of the system. We select it alongside your data, integrations, review requirements and operating budget.

Knowledge

01 ↗

Operations

02 ↗

Support

03 ↗

WEBZOST AI / SYSTEM ARCHITECTURE
SOURCESREVIEWTOOLS
N/
KNOWLEDGE ASSISTANT

Your information. A useful answer.

Retrieve approved sources, respect access permissions and show where the answer came from.

Approved sources→Retrieval + model→Referenced answer

✳ GPT / OpenAI

✳ MULTI-MODEL

✳ EVALUATION FIRST

✳ HUMAN REVIEW

THE PEOPLE / BEHIND THE SYSTEMS

Different minds.

Different minds.

Different minds.

One connected practice.

One connected practice.

One connected practice.

Strategy, engineering and design at the same table. Because useful AI takes more than a model.

Meet the practice

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N / 01

DEMO PROFILE

STRATEGY & PARTNERSHIPS

Maya Sen

Turns an unclear brief into a focused opportunity, with the right people involved from day one.

N / 02

DEMO PROFILE

AI & SYSTEMS ENGINEERING

Jordan Ellis

Connects models, tools and data into understandable workflows with clear operating boundaries.

N / 03

DEMO PROFILE

PRODUCT & EXPERIENCE DESIGN

Alex Chen

Makes complex capabilities feel clear, useful and natural in the hands of the people using them.

N / 04

DEMO PROFILE

AUTOMATION & EVALUATION

Sam Rivers

Builds the handoffs, test cases and feedback loops that keep a system useful after launch.

Illustrative team profiles for layout preview. Replace images and biographies before publishing.

CLIENT PERSPECTIVES / REVIEW COMPONENT

The work is technical.

The work is technical.

The work is technical.

The experience is human.

The experience is human.

The experience is human.

A place for the people you work with to describe what made the collaboration useful.

A place for the people you work with to describe what made the collaboration useful.

“

SAMPLE REVIEW / 01

The most useful part was the clarity. We could see what the system would handle, where our team stayed involved and what we needed to test.

TR

Taylor Reed

Operations lead · Fictional demo profile

“

SAMPLE REVIEW / 01

The most useful part was the clarity. We could see what the system would handle, where our team stayed involved and what we needed to test.

TR

Taylor Reed

Operations lead · Fictional demo profile

“

SAMPLE REVIEW / 01

The most useful part was the clarity. We could see what the system would handle, where our team stayed involved and what we needed to test.

TR

Taylor Reed

Operations lead · Fictional demo profile

“

SAMPLE REVIEW / 02

They started with the way our team actually works. The solution felt like a natural next step, rather than another tool to manage.

RB

Robin Blake

Customer experience lead · Fictional demo profile

“

SAMPLE REVIEW / 02

They started with the way our team actually works. The solution felt like a natural next step, rather than another tool to manage.

RB

Robin Blake

Customer experience lead · Fictional demo profile

“

SAMPLE REVIEW / 02

They started with the way our team actually works. The solution felt like a natural next step, rather than another tool to manage.

RB

Robin Blake

Customer experience lead · Fictional demo profile

“

SAMPLE REVIEW / 03

The handover mattered as much as the build. We knew how to review a suggestion, spot a problem and give the system better information.

JP

Jamie Parker

Product lead · Fictional demo profile

“

SAMPLE REVIEW / 03

The handover mattered as much as the build. We knew how to review a suggestion, spot a problem and give the system better information.

JP

Jamie Parker

Product lead · Fictional demo profile

“

SAMPLE REVIEW / 03

The handover mattered as much as the build. We knew how to review a suggestion, spot a problem and give the system better information.

JP

Jamie Parker

Product lead · Fictional demo profile

Demo testimonials for layout preview. Quotes and identities are fictional; replace them with permissioned client reviews before publishing.

WEBZOST AI LAB / RESEARCH & FIELD NOTES

Always curious.

Always curious.

Always curious.

Deliberately practical.

Deliberately practical.

Deliberately practical.

Working ideas on retrieval, evaluation and the human side of building with AI.

Working ideas on retrieval, evaluation and the human side of building with AI.

Explore the lab

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01⌕FIELD NOTE / RETRIEVAL

RETRIEVAL

When an assistant should say “I don’t know”.

A field note on unsupported questions, conflicting documents and source-level evaluation.

READ THE FIELD NOTE ↗

02↗FIELD NOTE / EVALUATION

EVALUATION

A better test set beats a better demo.

Designing representative cases before you expand the scope of an AI workflow.

READ THE FIELD NOTE ↗

03◎FIELD NOTE / PRODUCT DESIGN

PRODUCT DESIGN

Where human judgement belongs.

Making approval, uncertainty and exceptions visible in an AI-powered experience.

READ THE FIELD NOTE ↗

04 / GOOD QUESTIONS

Before we

Before we

Before we

begin.

begin.

begin.

Do we need to know which AI model to use?

No. Start with the workflow and the information it needs. Model and integration choices follow the requirements, including quality, access, operating cost and review needs.

Can you work with our existing tools?

We assess the available APIs and permissions during discovery. The proposed scope identifies supported integrations and any manual steps that should remain.

Will the system act without approval?

That depends on the task and its consequences. We define action permissions and review points explicitly. High-impact or ambiguous actions should have a clear human approval route.

What happens after launch?

Every engagement should define an operating owner, documentation and a handover. Ongoing evaluation and maintenance can be scoped separately.

START WITH ONE USEFUL CONVERSATION

What could work

better for you?

Bring us a workflow, a bottleneck or an early idea. We’ll help define a sensible next step.

Tell us what you’re working on

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START WITH ONE USEFUL CONVERSATION

What could work

better for you?

Bring us a workflow, a bottleneck or an early idea. We’ll help define a sensible next step.

Tell us what you’re working on

↗

START WITH ONE USEFUL CONVERSATION

What could work

better for you?

Bring us a workflow, a bottleneck or an early idea. We’ll help define a sensible next step.

Tell us what you’re working on

↗

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