Demonstrative examples prepared by ContactLab. These are not customer case studies; the availability of a demonstrable run is confirmed when scheduling.
Each example shows the Before / After / Evidence / Metric format used in the pilot. The metrics describe what your organization measures in your flow; they do not present customer results.
Before: a practitioner manually gathers competitor updates in spreadsheets and emails; format and depth vary with every round.
After: the workflow receives the authorized sources and topics of interest and produces a structured briefing, ready for review.
Evidence: sources consulted, files produced, run events and the reviewed result are all recorded.
Metric: preparation time per briefing, number of reviews until approval and consistency across rounds.
Before: every proposal starts from scratch; context gathering, drafting and formatting consume the sales team's time.
After: the workflow combines the supplied context and the team's proposal template to produce a reviewable draft.
Evidence: supplied inputs, drafts produced and review decisions recorded per run.
Metric: time to first draft, review cycles per proposal and adherence to the approved template.
Before: reading long documents depends on a few reviewers, and findings stay scattered across notes.
After: the workflow goes through the supplied documents and produces a structured list of attention points for human review.
Evidence: passages flagged, items raised and the reviewed result per batch of documents.
Metric: reading coverage, attention items per document and time per reviewed batch.
Before: agents summarize conversations and internal material by hand, and the result depends on who is on shift.
After: the workflow produces standardized summaries from the supplied material, with citations for review.
Evidence: input material, produced summary and recorded review of the same run.
Metric: summarization time, share of reviews without adjustments and standardization across shifts.
Engineering teams also use the platform for software lifecycle tasks, from planning to maintenance, with GitHub input and change review. Those scenarios remain available; this page focuses on business workflows.
See GitHub input preparationChoose the task and define the expected output. The pilot assesses your organization's data, integrations, access and criteria before expanding usage.
In the 30-minute meeting, we walk through the catalog and a live or previously prepared run. You see the inputs, the output and the available records. For a GitHub scenario, we inspect repository context. We confirm the scenario when scheduling and define what to assess in the pilot.