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.
The best candidates are manual, rule-based processes that repeat — document handling, data extraction and classification, reporting, lead routing, and reconciliation across marketing, operations, HR, finance, and support. If a process is defined but still needs a person to execute it, it's a strong candidate; the process audit confirms exactly where AI helps.
Traditional robotic process automation (RPA) replays fixed, scripted steps and breaks when inputs change. AI automation adds OCR, extraction, classification, and decision logic, so it handles unstructured documents and data, routes low-confidence cases to a person for review, and connects to your tools through APIs instead of screen-level scripts.
AI automation replaces the repetitive execution, not the judgment. The pipeline takes over manual steps like reading, tagging, routing, and reporting, while exceptions and low-confidence cases are routed to your team for review — so people spend their time on the decisions that actually need them.
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.
AI automation executes rules you define; agentic systems decide the next step themselves — planning, acting, and adapting across a multi-step workflow without a human approving every step. BeeWeb builds both, and we help you pick the right approach during the initial consultation.