Autonomous case handling

Althea

Turn work instructions into autonomous operations.

Traditional automation spends 60–80% of its effort on analysis and configuration, and by go-live the process has changed. Althea learns the process from examples instead.

For shared service centres, finance operations and anyone with a high-volume case process.

The cost of traditional automation

Automation takes months

60–80% of the effort is process analysis and configuration. Every process becomes an IT project.

Chatbots don’t do the work

LLM assistants answer questions. They don’t own a case across systems and weeks.

Rule-based bots break

About half need rework within a year. One field moves, one exception appears, and maintenance eats the savings.

If you can train a new employee, you can train Althea.

Onboarded like a new team member

  • 01 Work instructions — the same documents and click guides your department already hands to new staff
  • 02 Cases to handle — real input data plus worked examples showing the expected outcome
  • 03 Tools to act with — API calls into your systems, e-mails, chat messages
  • 04 Althea does the work. It does not just describe it.

What Althea does

Learning replaces configuration

Althea reads your examples and infers the decision rules, the exceptions and the tool calls behind each outcome. No specification workshops, no rule engine.

Plans you approve before they run

Every derived workflow is presented as a readable plan — steps, branches, waiting points, systems touched — and routed to the department that owns the process.

It asks when something is unclear

An unknown case doesn’t stop the process. Althea proposes a solution and asks the responsible person by chat, mail or call.

Answers become organisational knowledge

A human decision is absorbed as a new, versioned branch in the plan. The same question is never asked twice.

Long-running cases

A case is not a transaction. Althea holds state across days and weeks, chasing people, systems and deadlines without losing the thread.

Autonomy with a paper trail

For every case: which rule fired, which data was read, which system was called, who approved what and when.

How it learns

Four steps, taught from material you already have.

  1. 1

    Hand over the material

    Work instructions, click guides and a set of worked example cases — the onboarding pack a new hire receives.

  2. 2

    Althea derives the pattern

    It reads the examples and infers the decision rules, exceptions and tool calls behind each outcome.

  3. 3

    It drafts an executable plan

    A readable workflow: steps, branches, waiting points, systems touched, and when a human must be asked.

  4. 4

    You approve, it runs

    The responsible department signs off the plan. Althea then handles live cases end to end.

Why Althea is different

RPA automates keystrokes. Assistants automate answers. Althea takes over the case.

Rule-based RPAWorkflow automationAI assistantAlthea
Follows programmed rulesRuns the nodes you wiredAnswers questionsOwns complete cases
Breaks on exceptionsStops at unmapped branchesCannot execute workflowsLearns from exceptions
Requires developmentRequires flow buildingRequires promptingLearns from examples
Rework on every changeRe-wire the flowRe-promptLearns from one correction
Transaction focusedIntegration focusedConversation focusedProcess focused
6 weeks

to a first live process, where traditional automation takes six months

~30

example cases needed to teach a process — no code

97.1%

straight-through rate on a live invoice approval process

See Althea on your own data.

A working session — not a slide deck. We scope fit and agree a first step.

Book a working session