Follow a task from trigger to completion, including rework and exceptions.
AI + WORKFLOW AUTOMATION
Take the repetition out of the routine.
Connect rules-based workflows with model-assisted steps where they genuinely help. Reduce manual handoffs across sales, marketing, customer service and operations without losing control of the process.
FIND WHAT TO AUTOMATEUseful starts with understanding.
Automating a broken process can make errors travel faster. We map inputs, exceptions and approvals first, then decide which steps need deterministic rules and which benefit from interpreting language, documents or incomplete information.
FIELD NOTE 17 / AI + Workflow AutomationAutomating a broken process can make errors travel faster.
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
Explore Automation A completed enquiry form creates a CRM record and routes it to the right owner.
02 / WHAT CAN BELONG IN THE SCOPESpecialist depth.
Specialist depth.
Connected delivery.
These capabilities sit within AI + Workflow Automation. We choose the combination that addresses your brief; the engagement is not a requirement to buy every item.
- Workflow Automation
- Business Process Automation
- AI Automation
- Sales Automation
- Marketing Automation
- Customer Service Automation
- Operations Automation
- Document Processing
- AI Data Extraction
- AI Reporting
03 / THE WORK, IN PRACTICEFrom a clear brief
From a clear brief
to useful delivery.
Use rules for predictable decisions and models for tasks such as classification, extraction or drafting.
Add retries, duplicate prevention, alerts and a manual recovery path.
Map the real workflow
Follow a task from trigger to completion, including rework and exceptions. Identify the source of truth and the person responsible at each decision point.
Connect the right components
Use rules for predictable decisions and models for tasks such as classification, extraction or drafting. Validate outputs before they update another system.
Make failures manageable
Add retries, duplicate prevention, alerts and a manual recovery path. Document the workflow and train owners to recognise when it needs attention.
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.
- 01Accepted task throughput
- 02Manual rework and exceptions
- 03Processing cost and time
Model outputs can be wrong. Sensitive decisions and uncertain records should route to review rather than silently continuing through the workflow.
Bring the context.
We’ll help shape the brief.
Who it is for
Operations leaders, technology teams and business owners who need a focused AI + Workflow Automation programme and a clear connection to the wider business.
What helps us begin
Process examples, system access, field definitions, exception cases and the team responsible for ongoing operations.
What we agree together
Deliverables, responsibilities, access, approvals, costs and a realistic review rhythm. We identify dependencies before committing to implementation.
06 / GOOD QUESTIONSBefore
Before
the next step.
What should a AI + Workflow Automation engagement solve first?
We begin with the constraint described in your brief, not a standard channel checklist. The first decision is usually whether to map the real workflow and what evidence would justify the next step.
Which AI + Workflow Automation capabilities can belong in scope?
Relevant capabilities include Workflow Automation, Business Process Automation, AI Automation, Sales Automation, Marketing Automation. We select only the combination needed for the outcome and document dependencies before delivery.
What does BackTeams need before AI + Workflow Automation work begins?
We usually start with process examples, system access, field definitions, exception cases and the team responsible for ongoing operations. A named owner helps resolve access, priorities and approvals.
How is AI + Workflow Automation performance evaluated?
We agree a baseline and read accepted task throughput, manual rework and exceptions, processing cost and time in context. Reporting must support a decision. Model outputs can be wrong. Sensitive decisions and uncertain records should route to review rather than silently continuing through the workflow.
Can AI + Workflow Automation 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.
Useful intelligence. Working systems.
One specialist team or several connected disciplines.
We’ll work out what belongs in the plan.