Project Lead
Scopes the problem, owns the operating rhythm, and keeps the work connected to the business outcome.
Setup + Tasks translate the brief into a configured workspace, scheduled jobs, review points, and run visibility.
The AI Data Team
The specialist capacity behind your next data and automation project.
Zipdata is the AI Data Team that runs your dashboards, alerts, automations, and customer comms — without hiring a single person. Every serious project needs the full bench — project lead, architect, engineer, analyst, automation builder, delivery analyst, and governance lead. We give your operations team that bench inside one configurable workspace.
Role-to-surface map
Each role is mapped to a production surface.
The point is not to imitate a consulting team. It is to remove the hiring and handoff burden that normally sits between a business problem and a working output.
Data Architect
Designs the entity model, field types, relationships, constraints, and data dictionary.
Sources provisions the typed workspace schema so analytics, feeds, automations, and agents work from the same model.
Data Engineer
Builds the connectors, transforms, syncs, writebacks, and integration scaffolding.
Tool Library + Automations connect systems, run Python, call webhooks, manage tool grants, and keep run history.
Analyst
Writes SQL, defines KPIs, answers recurring questions, and watches thresholds.
Analytics + Watches draft SQL, compute metrics, monitor segments, and trigger feeds, automations, or tool paths.
Automation Builder
Turns repeatable work into scripts, triggers, schedules, document flows, and writebacks.
Automations runs scripts and tool-backed workflows with secrets, activation checks, retries, and activity logs.
Delivery Analyst
Packages intelligence for each audience: briefings, alerts, dashboards, reports, statements, and customer updates.
Feed Studio generates and versions 12 feed types, then Feeds, Groups, and Tasks deliver them on cadence.
Governance Lead
Sets approval policy, validates outputs, and keeps consequential actions under human control.
Agents + Approval Tiers enforce side-effect policy, deny-by-default tool access, pending actions, and audit history.
48-hour spine
From business question to first live output.
Zipdata starts with one concrete workflow and proves it quickly. The workspace can then expand from reporting to automation to governed agents as the operation matures.
0130 minutes
Describe
Start with a business brief, a PRD, a template, or a live problem your team already knows is worth solving.
02Automatic
Staff
The workspace maps the work to entities, KPIs, watches, feeds, automations, tools, and approval policy.
03Hours
Validate
Synthetic data proves the schema, first queries, watches, and feed outputs before live-system access slows the project down.
0448 hours
Go live
Your first briefing, watch, automation path, and governance view are running from one workspace.
Cost logic
Team economics, without a team P&L.
Hiring the full specialist bench is slow. Renting it through consulting is expensive. Zipdata keeps the model simple: one avoided hire can justify the platform for a year, and one avoided consulting engagement can justify the first workspace immediately.
What changesYour ops team keeps ownership. Zipdata supplies the specialist data, automation, and delivery capacity around it.
No fixed price claim here. The important claim is structural: capacity becomes workspace-scoped instead of headcount-scoped.
Governance
The team acts only inside the policy you set.
Zipdata is designed for operational work where wrong actions matter. Reads, drafts, notifications, external writes, and high-consequence actions should not share the same control model.
Humans keep judgment
Your team approves customer-facing, financial, or material actions. The platform drafts, monitors, and queues the next step.
Tools are deny-by-default
A workspace tool exists only as a grant. Agent programs get explicit allowlists, so empty access means zero tools available.
Every action leaves a trail
Feeds, automations, tool calls, approvals, dismissals, and agent actions are logged as part of the workspace history.
Staff the first project
Bring one workflow. Leave with the shape of the workspace.
We will map the problem to the roles, surfaces, first outputs, and approval rules needed to prove value quickly.