Chase the agreed inputs
Gather reports, exports, notes, and updates from the defined people or systems on the schedule the team already uses.
Weekly reporting / collection, synthesis, and review
The weekly report should arrive already assembled.
We build a scheduled reporting workflow that collects approved team inputs, normalizes the agreed metrics, flags missing or unusual items, and prepares a readable weekly pack. Leaders still interpret the result and decide what needs action.
Scheduled collectionMetric definitionsGap flagsLeadership review
Pattern demonstration / no client metrics
The weekly reporting tax
The meeting should not begin with spreadsheet assembly.
A reporting agent removes collection and formatting while preserving the definitions, source, and exceptions needed to read the result honestly.
Make the numbers comparable
Apply the agreed period, definition, unit, and exclusion rules before a model summarizes what changed.
Surface gaps and changes
Point to missing reports, stale data, unusual movement, and source conflicts for a person to review.
A report needs a definition
Fluent prose cannot fix a broken metric.
Keep the submission traceable
A leader should know which person, file, system, and period supplied each important item.
Freeze the comparison
Define the metric, denominator, time period, and exception threshold before the report is generated.
Leave interpretation to leadership
The agent flags and drafts. The lead decides whether the change is a problem, opportunity, or data issue.
A reporting agent pilot
Start with one recurring leadership pack.
Choose the report
Name the teams, sources, cadence, output format, metrics, and person who receives the pack.
Define completeness
Set required sections, reporting periods, acceptable formats, missing-data behavior, and materiality rules.
Run beside the current process
Compare the synthesized pack with the human version and correct missing context, wrong calculations, and false flags.
Publish with the source
Deliver the approved pack through the chosen channel and record the update, failure, and correction process.
The report agent should make the meeting start later in the process: with the change, the gap, and the decision.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Straight answers
Common questions.
Is this the same as marketing operations reporting?
Marketing operations is one function-specific version. This page covers a cross-team scheduled reporting pack with multiple contributors and a leadership reader.
Can it audit direct-report submissions?
It can check completeness, dates, required fields, figures, and defined thresholds. It should not make a subjective performance judgment about a subordinate.
Can it update a dashboard?
A connector or approved write can be scoped after the report and validation loop is trusted.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the pack
Which weekly report takes too long to build?
Tell us who submits, what the report must contain, the metrics, and who needs the final readable version.