Sample deliverable
Workflow Blueprint — Manual Weekly Reporting
The same structure and depth you receive, on a common case.
SECTION 1
Executive summary
A hypothetical 12-person marketing agency assembles a weekly client performance report by hand. In this illustrative scenario the process is assumed to take roughly 5–6 hours every week and to be error-prone at the consolidation and validation steps. This blueprint proposes a mostly-automated pipeline with two human approval points. Under the stated assumptions, hands-on time could fall to an estimated ~1 hour per week. All figures are illustrative assumptions, not measured results.
Section 2 · Current-state map
Section 4 · Future-state map
SECTION 3
Bottleneck analysis
Attachment collection is a manual search across email threads (missed or duplicated files). Consolidation is copy-paste between formats — the biggest time sink and error source. Validation has no defined rule set, so errors are caught late. Review waits on one reviewer, a queueing delay rather than a work delay.
SECTION 5
Recommended tools & integrations
Keep the existing stack — no rip-and-replace, up to five tools. An email API or no-code connector for retrieval; a spreadsheet or lightweight database as the source of truth; formulas or a small script for validation; an LLM step for the first-draft summary (validated aggregates only — no personal data); existing email or chat for distribution.
SECTION 6
AI vs deterministic steps
Deterministic: retrieval, ingest, validation rules, distribution — and all figures. AI-assisted: the narrative summary draft only, always reviewed before it is sent. AI never generates numbers.
SECTION 7
Human approval points
Gate 1 — data sign-off: validated figures are correct and complete before drafting. Gate 2 — summary sign-off: the narrative matches the data and reads well before distribution.
SECTION 8
Errors & controls
Missing-attachment alerts if an expected sender doesn't report; validation flags out-of-range values and mismatched totals and blocks gate 1 until resolved; every run is logged; a manual fallback runs the old process if automated retrieval fails.
SECTION 9
Security & data risks
In this illustrative design, client data stays within the existing tools. The LLM step receives only validated, non-sensitive aggregates — no personal data — and client identifiers are redacted in the prompt. Access is limited to the coordinator and reviewer.
SECTION 10–11
Implementation sequence & 30-day roadmap
Week 1: retrieval rules and the structured store. Week 2: ingest, validation, and approval gate 1. Week 3: the AI summary draft, approval gate 2, and distribution. Week 4: run in parallel with the manual process for two cycles, then cut over.
SECTION 12
Estimated effort & potential time savings
SECTION 13
Assumptions & confidence
Assumes attachments arrive in consistent formats from a stable set of senders and that the team keeps its existing stack. Confidence: medium-high on the approach, medium on effort until formats are confirmed. Where confidence is lower, this blueprint flags it rather than overstating.