Your business workflows,run by AI.
ERHA automates your time-consuming tasks. Each client gets a dedicated space where AI agents orchestrate their workflows, from raw data to finished deliverable, without writing a single line of code.
A metered, capped and traceable AI pipeline, built for business teams.
Automate the manual, accelerate delivery. Our AI pipelines turn your data into measurable outcomes and operational reliability.
No more re-entry and repetitive tasks. Tools that turn your complex data into usable deliverables, every day, without writing a single line of code.
100%
of AI calls metered, capped and billed at real cost. No month-end surprises.
3 AI profiles
one per task: rewrite, placement, synthesis.
5 steps
one deliverable, ready to use.
The right model, at every step
Model auto-selected via the Token Gateway.
From raw data to finished deliverable, without a single line of code.
The ERHA promise
The ERHA interface: from file ingestion to deliverable
Drop and analyse
You drop a file from your space. ERHA parses it, spots the rows to handle and builds the business context.
Pipeline and deliverable
The pipeline runs each step, re-checks the doubtful cases, then returns a ready-to-use table, with the cost of every run.
Client experiences
What an ERHA automation changes on the floor: no more re-entry, deliverables in minutes, cost under control.
A team of engineers and domain experts behind your automations.
We connect AI research to the reality of your floor, with engineering rigour and full traceability.
AI engineering
Pipelines & models
Product & design
Business interfaces
Quality & compliance
IFS / BRC referentials
Infrastructure
Multi-tenant & cost
We bridge generic AI and your actual work: bespoke pipelines, wired to your data, that return a deliverable you can use.
Intelligence tailored to your business.
AI automation use cases
IFS / BRC deviation placement
231
requirements
2
referentials
auto
placement
min.
per deliverable
Analysis bulletins → compliance
input
thresholds
checked
auto
alerts
min.
per deliverable
Document extraction & control
xlsx·pdf
formats
0
re-entry
100%
traced
min.
per deliverable
Frequently asked questions about AI automation
What to know before handing your workflows and time-consuming tasks to ERHA.
What is AI workflow automation?
It means handing the repetitive steps of a business process to AI agents: reading documents, extracting data, running checks, shaping the deliverable. ERHA chains those steps into a metered, traceable pipeline, without you writing any code.
Which time-consuming tasks can ERHA automate?
Data re-entry, document extraction and control (PDF, Excel), IFS / BRC audit deviation placement, analysis bulletin checks, recurring deliverable preparation. If a task is repetitive and documented, it is probably automatable.
Do I need to know how to code to automate my tasks?
No. You drop your files into your dedicated space; the ERHA pipeline parses, processes, verifies and returns a ready-to-use deliverable. Our team takes care of building the workflow.
How much does an AI automation cost?
Every AI call goes through our Token Gateway: metered, capped and billed at real cost. You see the cost of each run: no oversized subscription, no month-end surprise.
Is my data safe?
Yes. Each client gets an isolated space: subdomain, screens and data partitioned end to end, with authentication scoped to that space.
How do time-consuming tasks impact payroll costs?
A significant share of paid time, up to 30% according to McKinsey, goes into repetitive, low-value tasks. Automating them doesn't cut payroll: it reallocates it to analysis, client relationships and decisions, where your teams create value.
How can I reduce my team's tedious, repetitive tasks?
Start by listing the recurring, documented tasks that involve no complex judgement: data re-entry, document checks, report preparation. Those are the best automation candidates. ERHA handles them end to end while your team keeps final validation.
Ready to automate your time-consuming tasks?
We'll show you ERHA on your own use case, in 20 minutes.