Automate customer inquiries and generate more revenue
automaited processes bills of quantities from PDF, GAEB, email, and attachments, identifies relevant line items, and suggests matching products.
More than 300 companies already rely on automaited.
Give every customer the best offer
Our AI takes over after reading: it filters relevant line items, understands context, and maps the right products. It does this even with long texts, varying formats, and details in preambles or supplementary documents.
Filter relevant line items and find matching products automatically
Bring project and inquiry context together
Understand long texts and preambles in the right context
Automate product matching
automaited identifies relevant line items and prepares matching product suggestions
Bring requests and schedule documents together
The agent reads PDFs, GAEB files, emails, and attachments and links what belongs together.
Map project and relevant sections
It assigns the schedule to the right project and marks relevant lots, sections, or line items.
Find relevant lines and suggest matching products
It checks line texts, quantities, units, and preambles against master data and product logic and suggests matching products.
Prepare cases for review
Clear cases are prepared directly. Unclear cases are flagged with context for review.
Even difficult line items can be sorted cleanly
That applies to the cases that slow down sales, bid management, or project teams too.
automaited AI agents use the bill of quantities together with master data, specifications, project context, and product logic.
Only part of the schedule is relevant to you
The same project arrives with different schedule excerpts
Line text is long, inconsistent, or described in preambles
The main item is clear; accessories or config are not
The same scope is worded differently across lines
There is no direct 1:1 match to master data or SKUs
Individual lines are not clearly quotable or configurable
Project, customer, or inquiry must merge despite naming drift
Only part of the schedule is relevant to you
The same project arrives with different schedule excerpts
Line text is long, inconsistent, or described in preambles
The main item is clear; accessories or config are not
The same scope is worded differently across lines
There is no direct 1:1 match to master data or SKUs
Individual lines are not clearly quotable or configurable
Project, customer, or inquiry must merge despite naming drift
Only part of the schedule is relevant to you
The same project arrives with different schedule excerpts
Line text is long, inconsistent, or described in preambles
The main item is clear; accessories or config are not
The same scope is worded differently across lines
There is no direct 1:1 match to master data or SKUs
Individual lines are not clearly quotable or configurable
Project, customer, or inquiry must merge despite naming drift
Only part of the schedule is relevant to you
The same project arrives with different schedule excerpts
Line text is long, inconsistent, or described in preambles
The main item is clear; accessories or config are not
The same scope is worded differently across lines
There is no direct 1:1 match to master data or SKUs
Individual lines are not clearly quotable or configurable
Project, customer, or inquiry must merge despite naming drift
Your team only works on what truly must be decided
- A line cannot be mapped unambiguously
- Several products are plausible
- A service cannot be clearly quoted
- Preambles or quantities change the selection
- A special line must be reviewed
Ambiguous cases are flagged and passed to the right team with context.
When needed, the agent also prepares the next step.
FAQs on bills of quantities
Why businesses choose us
Our Trusted AI Agents empower businesses to automate their workflows in the most efficient way. Our partners see significant gains in efficiency, accuracy, and customer satisfaction. Plus, we are a great team to work with.
automaited allowed us to make operational processes up to 70% more efficient.
Tao Tao
COO, GetYourGuide
The efficient implementation not only sped up our operations but also heightened accuracy and scalability, markedly improving client satisfaction without straining our resources.
Sascha Schneider
Strategic Projects, Roland Assistance
A Prime Example of showing that Hybrid Intelligence is looking at Machine Intelligence and Human Intelligence at the same time.
Prof.dr.ir. Wil van der Aalst
Chief Scientist, Celonis
