Less manual work
Remove repeated handling and handoffs
Automate
Put routine work on autopilot. Keep judgement where it belongs.
Tangible Labs designs AI automation services that connect fragmented tasks, systems and decisions into reliable workflows. The goal is not automation for its own sake. It is faster execution, fewer manual handoffs and more capacity for work that needs people.
Faster flow
Move work without losing context
Human control
Keep judgement and approvals visible
Operational proof
Measure time, quality and capacity
What this solves
What you get, in plain language.
Start with the business problem. We define and deliver the product, workflow or transformation needed to solve it.
At a glance
Best for: repetitive, rules-heavy or high-volume work spread across people and applications.
What we build: AI agents, orchestrated workflows, approvals, integrations and human escalation.
What changes: work moves faster, operational visibility improves and teams spend less time copying, chasing and checking.
What can be automated?
- Multi-step workflows: connect triggers, business rules, AI decisions, approvals and system actions.
- Sales and lead operations: qualify, prioritise, follow up, book and update the CRM.
- Customer support: resolve routine questions, assist agents and escalate with context.
- Marketing and CRM: coordinate lifecycle actions, personalisation and data updates.
- Document processing: classify, extract, validate and route information from documents.
- Back-office operations: reduce repetitive work across finance, HR and administration.
- Reporting and analytics: assemble recurring reports, flag anomalies and distribute insight.
What this changes for you
- Shorter cycle times and fewer avoidable handoffs
- More consistent execution across teams and channels
- Reduced repetitive workload without removing necessary oversight
- Better traceability of actions, approvals and exceptions
- Automation that works with the current technology stack
- A foundation that can expand workflow by workflow
What we deliver
- Workflow and exception map
- Automation opportunity and feasibility assessment
- Target workflow design with human-in-the-loop controls
- AI agents, orchestration logic and integration layer
- Role-based approvals, auditability and escalation paths
- Testing, deployment documentation and operating playbook
- Monitoring plan and optimisation backlog
How we automate
- Map the real work: capture what happens, including exceptions and unofficial workarounds.
- Choose the right boundary: decide what AI handles, what rules handle and where people decide.
- Build the workflow: connect data, agents, applications, approvals and notifications.
- Test the difficult cases: validate outputs, permissions, fallbacks and recovery paths.
- Launch and improve: start with a controlled workflow, monitor performance and expand deliberately.
Systems we can design around
How we work
Small-team speed. Enterprise-level discipline.
You always know what is being decided, built and measured.
Map
Understand the current flow, exceptions and baseline.
Prioritise
Choose the smallest shift that can move the metric.
Implement
Connect intelligence, systems and human checkpoints.
Optimise
Observe real usage and improve continuously.
Built for reality
Connected. Governed. Ready to operate.
The new system should fit the business you already run, not create another isolated tool.
SystemsCRM · ERP · data · APIs
ControlsAccess · review · audit
PeopleRoles · handoffs · adoption
Relevant exampleClient engagementRead the case study ↗
Turn complex orders into accurate quotes in minutes.
An order intelligence workflow designed to read requirements, check stock, protect margin and prepare a quotation for human approval.
8 minhandling time
1.8 hrsquote turnaround
FAQ
Questions about Automate
Straight answers before you decide what to do next.
What business processes are suitable for AI automation?
Strong candidates are repetitive, high-volume processes that follow recognisable patterns but still contain language, documents, judgement or exceptions. We assess value, data readiness and operational risk before deciding what should be automated.
Can you automate a process across several applications?
Yes. AI workflow automation can coordinate steps across business applications using APIs, approved integration methods and human checkpoints. The technical approach depends on the systems and permissions available.
Does AI automation replace the whole team?
Usually not. Effective automation removes repetitive work and gives people better information. High-impact, sensitive or ambiguous decisions can remain with authorised users.
Can we start with one workflow?
Yes. A bounded workflow is often the clearest way to prove usability and operational value before expanding to related processes.
How is this different from traditional RPA?
Traditional RPA is strongest when steps and inputs are highly structured. AI can also interpret language, documents and context. The two can work together where that is the right architecture.
How long does a typical engagement take?
A focused diagnostic or prototype can take a few weeks. A production build or wider transformation is phased around complexity, integrations, risk and the evidence required at each gate.
What determines the cost?
Scope, workflow complexity, data readiness, integrations, security requirements and the level of production support determine investment. We define the smallest credible first phase before proposing a wider programme.
Can this work with our existing systems?
Usually, yes. We design around your current CRM, ERP, data, communication and operational tools, then recommend replacement only when an existing constraint genuinely blocks the outcome.
How do you handle security and human oversight?
We define access, approval, escalation, audit and monitoring requirements with the workflow. High-impact decisions retain the right human checkpoints and visible accountability.
Have a problem worth fixing?
Tell us what needs to change.
We will help you find the clearest route from business need to working system.
Talk to our team