We replace repetitive, manual processes — document handling, reporting, lead routing, reconciliation — with intelligent systems that execute them faster and more consistently. The process stays defined; the execution stops needing a person.
marketing, operations, HR, finance, and support workflows.
document automation, classification, lead routing, reporting.
multi-step automation built on agents + LLMs + APIs.
OCR, extraction, tagging, categorization, summarization.
AI logic layers to speed up internal processes.
We map the current manual workflow — every step, exception, and system it touches — and flag where AI actually helps.
We choose the right mix of OCR, extraction, classification, and decision logic, and define what still needs a human review.
The pipeline is built to plug into your existing tools — CRM, ticketing, document storage — via API, not a data migration.
We track accuracy and exception rates in production and tune the pipeline as real volume and edge cases come in.
Step 1
A fixed-fee audit that maps the current process and produces a prioritized automation opportunity report.
Step 2
Fixed-scope engineering to build, integrate, and ship the automation pipeline.
Teams with repeatable manual workflows
Operations looking to cut processing cost and time
Companies with fragmented internal productivity tools
Teams handling high document or data volume
Businesses whose decisions depend on structured, repeatable logic
Before MagicDocs, every document that came into Formally's platform meant a person reading, tagging, and routing it by hand. BeeWeb's engineers built the automation pipeline that classifies, summarizes, and extracts insight from complex documents at volume — the exact category of repetitive processing work AI automation is built to remove.
"The manual document work that used to eat a day now happens automatically, at a scale we couldn't staff for."
No sales layer — you'll talk directly with BeeWeb's engineering leadership about your workflow, not an account manager.
Repeatable, rule-based processes that currently require a person to read, classify, route, or reconcile something: document processing, lead routing, invoice matching, reporting, support ticket triage, and similar workflows. If the steps are already well-defined, automation is usually a better fit than a fully autonomous agent.
Traditional RPA scripts brittle, rule-based clicks against a fixed UI. AI automation uses LLMs and intelligent document processing to handle variation — different document formats, ambiguous inputs, natural-language content — that would break a conventional RPA script.
Most engagements free people from repetitive processing work — document handling, data entry, first-pass triage — so they can focus on judgment calls and exceptions the system correctly escalates rather than trying to automate away entirely.
Yes. Automation pipelines are built to plug into your existing stack — CRM, ticketing, document storage, internal tools — via API, rather than requiring you to move data into a new platform.
Automation executes a process you've already defined, end-to-end, faster and more consistently than a person could. An agentic system decides the next step itself. Most automation projects don't need agentic autonomy — the process is already known, it just needs to run without a human doing every step manually.