Fabren

· AI Deployment Services

Deploy AI into your business without hiring full-time engineers.

Fabren gives SMBs and mid-market teams a forward-deployed AI pod that maps, builds and maintains AI workflows inside your actual operations.

Built for teams with messy workflows, disconnected tools and too much manual work.

· The problem

AI tools are easy. AI deployment is hard.

Most businesses already know AI can save time. The problem is not awareness. The problem is implementation.

That is why most AI projects stay stuck as demos, experiments and unused ChatGPT accounts. Fabren closes the gap between “we should use AI” and “this workflow is now running inside our business.”

01

Too many manual workflows

Your team is still chasing documents, updating spreadsheets, writing repetitive emails and copying data between tools.

02

No internal AI deployment team

You may have ideas, but not the engineering, process and implementation capacity to turn them into working systems.

03

AI experiments do not become operations

A prompt, chatbot or one-off automation is not enough. Businesses need reliable workflows that people actually use.

· Solution

Subscribe to a forward-deployed AI pod.

Fabren works like an embedded AI deployment team. Each month, we identify high-value workflows, design the automation, build the system, deploy it into your tools, train your team and keep improving it.

Strategy

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

Build

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

Deploy

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

Train

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

Maintain

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

Improve

Strategy is only useful when it becomes a working system. Fabren is built for deployment.

· How it works

From messy process to deployed AI workflow.

01

Map

We identify the workflows creating the most drag inside your business.

02

Prioritise

We score each opportunity by impact, complexity, data readiness and expected ROI.

03

Build

AI-first engineers build the workflow using LLMs, APIs, dashboards and human-in-the-loop controls.

04

Deploy

We connect the workflow into the tools your team already uses.

05

Train

Your team gets simple instructions, Loom walkthroughs and SOPs.

06

Improve

We monitor usage, fix issues and improve the system over time.

· What we deploy

AI workflows for the parts of your business that waste the most time.

We focus on operational workflows where AI can reduce manual work, speed up execution and make your team more effective.

Client Onboarding Automation

Turn new customer intake into a structured workflow. Collect information, create tasks, generate summaries and trigger next steps automatically.

Document Collection Agents

Track missing documents, send reminders and update internal systems without manual chasing.

Email Triage and Drafting

Route, summarise and draft replies to repetitive emails while keeping humans in control.

Reporting Automation

Generate weekly performance, operations or client reports from your existing data sources.

CRM and Pipeline Updates

Reduce manual CRM hygiene by summarising activity, updating fields and creating follow-up tasks.

Internal Knowledge Assistants

Turn SOPs, docs and internal knowledge into searchable assistants for your team.

Meeting-to-Task Workflows

Convert calls, notes and transcripts into action items, owners, deadlines and project updates.

AI Coding Workflow Deployment

Deploy Codex, Cursor, Copilot and AI development workflows into engineering teams safely and consistently.

· Sprint model

Start with a sprint. Scale into a pod.

Most clients begin with a focused AI Deployment Sprint. If the first sprint proves value, we move into a monthly deployment pod.

Start here

AI Deployment Sprint

Best for teams that want to find their first high-value AI opportunity.

Workflow audit
AI readiness score
Top 5 automation opportunities
One working prototype
Sprint roadmap
Book a Sprint
Scale

Monthly AI Pod

Best for teams that want ongoing implementation capacity.

Monthly deployment sprints
Dedicated AI-first builders
Workflow maintenance
Team training
Reporting and optimisation
Apply for a Pod
Complex ops

Custom Workflow Rebuild

Best for teams whose systems are too messy for simple automation.

Workflow redesign
Data cleanup
Internal tools
Custom integrations
Department-level AI rollout
Discuss a Custom Build

· Why Fabren is different

Not an AI automation agency. A deployment partner.

Most AI agencies sell tools, prompts or disconnected automations. Fabren is built around forward deployment: understanding your workflows, building inside your systems and improving the result over time.

Generic AI Automation Agency

Sells random automations
Works from vague briefs
Builds isolated tools
Little long-term ownership
Often focused on demos
Leaves adoption to your team

Fabren

Runs structured deployment sprints
Maps workflows before building
Deploys into your real tools
Maintains and improves systems monthly
Focuses on operational ROI
Trains your team to actually use it

AI only creates value when it reaches production. Fabren is built to get it there.

· Example sprint

Example: automating client document chasing for an accounting firm.

A growing accounting firm spends hours every week chasing clients for missing documents, tax information and onboarding details.

01
Tracks missing documents by client
02
Sends personalised reminder emails
03
Updates internal task boards
04
Summarises client status for the team
05
Alerts staff only when human follow-up is needed

The result is not just an automation. It is a workflow your team can actually use every week.

· Security and control

Built with human control by default.

AI deployment should not mean handing your business to a black box. Fabren designs workflows with clear boundaries, review points and human approval where needed.

Human review for sensitive outputs
Clear access and permission boundaries
Workflow documentation
Simple rollback paths
Data minimisation where possible
Team training and adoption support

· AI Deployment Sprint

Find your first AI deployment opportunity.

Tell us how your business works. We will identify the workflows most likely to benefit from AI and show you what can be deployed first.

· FAQ

Questions about AI deployment services.

What are AI deployment services?

AI deployment services help a business move from AI ideas to working AI workflows. This includes mapping processes, building automations, connecting tools, training teams and maintaining the system after launch.

How is Fabren different from an AI automation agency?

Fabren works through structured monthly deployment sprints. We do not just build one-off automations. We identify operational bottlenecks, deploy workflows into your existing tools and improve them over time.

Do we need to hire an AI engineer?

No. Fabren gives you access to an AI deployment pod without hiring a full-time engineer. You get implementation capacity as a service.

What kind of businesses do you work with?

We work with SMBs and mid-market teams, especially accounting firms, recruitment agencies, marketing agencies, software teams and admin-heavy service businesses.

What tools can you work with?

We can work with tools such as Slack, Teams, Gmail, Google Workspace, Microsoft 365, HubSpot, Airtable, Notion, QuickBooks, Xero, CRMs, internal databases and custom APIs.

How long does a sprint take?

A typical sprint runs over a few weeks. The first sprint usually focuses on workflow mapping, prioritisation and one working prototype.

Can you build custom AI agents?

Yes. We can build custom AI agents and workflows, but only after understanding the process, data and operational context.

Do you replace our staff?

No. Fabren is designed to reduce repetitive manual work and help your team operate with more capacity. Most workflows include human review and approval where needed.

How much does it cost?

Most clients start with an AI Deployment Sprint. Monthly AI Pods start from several thousand dollars per month depending on sprint capacity, integrations and support requirements.

What happens after the first sprint?

After the first sprint, we either improve the prototype, deploy the next workflow or move into a monthly AI Pod where Fabren becomes your ongoing AI implementation team.