CUSTOM AI SOLUTIONS

Build AI around how your business works.

Design business-specific applications that connect models, data and user experience. From internal assistants to customer-facing tools, make the system useful, testable and maintainable.

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01 / START WITH THE CONSTRAINT

Useful starts with understanding.

A generic chat interface rarely solves the whole business problem. We define the user journey, data boundaries and operational requirements before choosing models, integrations or interface patterns.

Controlled knowledge and automation modules for Custom AI SolutionsFIELD NOTE 18 / Custom AI Solutions
THE WORK BEHIND THE HEADLINEDesign the application → Build the complete system → Plan for operation

A generic chat interface rarely solves the whole business problem.

CHOOSE THE RIGHT KIND OF SYSTEM

Not every task needs an agent.

PREDICTABLE RULES

A known trigger follows a defined set of steps. Best when inputs and decisions are consistent.

In practice

A completed enquiry form creates a CRM record and routes it to the right owner.

Explore Automation
02 / WHAT CAN BELONG IN THE SCOPE

Specialist depth.
Connected delivery.

These capabilities sit within Custom AI Solutions. We choose the combination that addresses your brief; the engagement is not a requirement to buy every item.

  • Custom AI Applications
  • Custom AI
  • LLM/API Integrations
  • CRM Integrations
  • ERP Integrations
  • Conversational AI
  • Voice AI
  • Custom AI Agents
03 / THE WORK, IN PRACTICE

From a clear brief
to useful delivery.

MOTION STUDY / CUSTOM AI SOLUTIONSLOOP / 12 SEC
01Design the application

Map user tasks, evidence sources and access requirements.

02Build the complete system

Connect models with authorised data and APIs.

03Plan for operation

Document deployment, ownership, monitoring and change management.

01

Design the application

Map user tasks, evidence sources and access requirements. Decide what belongs in the interface, what needs an integration and where a human should stay involved.

02

Build the complete system

Connect models with authorised data and APIs. Implement evaluation, authentication, error handling and usable feedback rather than stopping at a persuasive prototype.

03

Plan for operation

Document deployment, ownership, monitoring and change management. Review model quality, latency and costs as part of the product, not as an afterthought.

04 / HOW WE READ PROGRESS

Evidence for
the next decision.

Agree the baseline, definitions and review cadence before delivery. The right measures follow the business problem and the data available—not a standard dashboard.

  1. 01Task success and user adoption
  2. 02Response quality and latency
  3. 03Operating cost and reliability

Voice AI is assessed for a specific use case, with appropriate disclosure and review. We do not assume every system exposes an API or permits the intended integration.

05 / GETTING STARTED

Bring the context.
We’ll help shape the brief.

Who it is for

Operations leaders, technology teams and business owners who need a focused Custom AI Solutions programme and a clear connection to the wider business.

What helps us begin

User requirements, data sources, integration documentation, access policies and an owner for the finished application.

What we agree together

Deliverables, responsibilities, access, approvals, costs and a realistic review rhythm. We identify dependencies before committing to implementation.

06 / GOOD QUESTIONS

Before
the next step.

What should a Custom AI Solutions engagement solve first?

We begin with the constraint described in your brief, not a standard channel checklist. The first decision is usually whether to design the application and what evidence would justify the next step.

Which Custom AI Solutions capabilities can belong in scope?

Relevant capabilities include Custom AI Applications, Custom AI, LLM/API Integrations, CRM Integrations, ERP Integrations. We select only the combination needed for the outcome and document dependencies before delivery.

What does BackTeams need before Custom AI Solutions work begins?

We usually start with user requirements, data sources, integration documentation, access policies and an owner for the finished application. A named owner helps resolve access, priorities and approvals.

How is Custom AI Solutions performance evaluated?

We agree a baseline and read task success and user adoption, response quality and latency, operating cost and reliability in context. Reporting must support a decision. Voice AI is assessed for a specific use case, with appropriate disclosure and review. We do not assume every system exposes an API or permits the intended integration.

Can Custom AI Solutions connect with our internal team and other agencies?

Yes. We define ownership across ai + automation, adjacent specialists and your team, then use a shared review cadence so evidence travels between disciplines.

BACKTEAMS / YOUR NEXT MOVE

Useful intelligence. Working systems.

One specialist team or several connected disciplines.
We’ll work out what belongs in the plan.

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