A base your team can understand
Airtable design and restructuring: data model, linked records, interfaces that work as simple custom apps, permissions and spreadsheet migration.
Platform
Airtable consultant and Zapier, Make and n8n automation
An Airtable consultant and automation team that designs reliable bases, connects your tools with Zapier, Make or n8n, and turns operations data into reporting.
Teams usually look for an Airtable consultant when growth exposes the limits of a quick build. Airtable and no-code automation help operations teams move fast. Then the business grows. Bases fill with duplicate fields. Automations multiply without documentation. Nobody is sure which workflow updates which record. When something breaks, it breaks quietly, and someone finds out from an unhappy customer.
As an Airtable consultant, Hurtado Analytics brings data discipline to these tools. We design or restructure Airtable bases with clear tables, linked records, permissions and naming rules. We build automations in Zapier, Make or n8n with error handling, logs and alerts, so failures are visible and easy to recover.
We work with founders, COOs and operations managers who need systems that scale, and with finance and data leads who need the data to be reportable. Because we are a data consultancy, not a no-code agency, we also tell you when a workflow has outgrown Airtable and what should replace it.
Every engagement starts with a review of your bases and workflows. You get a written list of risks, quick fixes and longer-term improvements, and you decide what comes next.
Challenges we solve
Your Airtable base has outgrown itself when fixing it takes more time than using it
Watch for these signs. Your base has dozens of tables with duplicate fields, and nobody remembers why. Automations fail without telling anyone. You hit task, credit or automation-run limits every month. The same record is edited in several places, so reports disagree. Permissions stay wide open because tightening them breaks workflows. If two or more apply, the hidden cost is already high: hours of workarounds each week and decisions made on records nobody has checked. A short review shows which fixes matter most.
Services
Airtable, Zapier, n8n and Make.com consulting services that leave you with a system you own
Our Airtable consulting and automation services cover design, build, cleanup and reporting. Each one can run as a fixed project or as ongoing support. Base design and automation work are often combined, because a clean data model makes every workflow simpler, faster and easier to fix. Every build is documented, so your team can maintain it without us.
Zaps that fail loudly, not silently
Zapier consultant services: cleanup, consolidation, error paths, naming rules and monitoring.
Complex workflows in one place
Make.com consultant services: routing, iterators and error handlers for multi-step scenarios.
Control over hosting and cost
n8n consultant services: self-hosted or cloud workflows, with code nodes where a workflow needs them.
Customer and operations data in sync
Integrations between Airtable and systems such as HubSpot and Zoho.
Less manual sorting and typing
AI automation for classification, summaries and data extraction, with human review where accuracy matters.
Learn more about AI Automation Agency →Reports managers can trust
Operations dashboards built on Airtable data, joined with CRM and finance data in one model.
The outcome is a system your team trusts: one place for each piece of data, workflows that report their own failures, and reporting that reads from clean records instead of exports.
Comparison
Zapier vs n8n vs Make.com: pick by workflow complexity and who will maintain it
There is no best tool, only the best fit. The deciding factors are how complex the workflow is, how much data it moves, where it must be hosted and who will maintain it. Each row reads Zapier | Make | n8n.
| Zapier | Make | n8n | |
|---|---|---|---|
| Best suited for | Simple, reliable workflows across many apps | Visual workflows with branching and data transformation | Technical teams needing control, code-level logic and self-hosting |
| Learning curve | Lowest | Moderate | Highest |
| Hosting | Cloud only | Cloud only | Cloud or self-hosted |
| Pricing basis | Tasks per month | Credits per month (formerly operations) | Executions, or your own infrastructure when self-hosted |
| Error handling | Basic error paths and replay | Dedicated error handler routes | Error workflows and full custom logic |
| Typical maintainer | Operations staff | Operations staff with technical support | Developers or technical operations |
Simple, reliable workflows across many apps
The lowest learning curve. Cloud only, priced on tasks per month, usually maintained by operations staff.
- Learning curve: lowest
- Hosting: cloud only
- Pricing basis: tasks per month
- Error handling: basic error paths and replay
Visual workflows with branching and data transformation
A moderate learning curve. Cloud only, priced on credits per month (formerly operations), maintained by operations staff with technical support.
- Learning curve: moderate
- Hosting: cloud only
- Pricing basis: credits (formerly operations)
- Error handling: dedicated error handler routes
Control, code-level logic and self-hosting
The highest learning curve. Cloud or self-hosted, suited to developers or technical operations teams.
- Learning curve: highest
- Hosting: cloud or self-hosted
- Pricing basis: executions, or your own infrastructure
- Error handling: error workflows and full custom logic
Use cases
Automation pays off fastest in the workflows your team repeats every day
Start with the work that happens most often and fails most visibly. Common candidates are listed below. Each one removes manual steps and gives managers a clearer view of the work.
New clients start work sooner
One form creates the client record, project, tasks and welcome email, with status in one view.
Stock problems surface before they hurt
Orders update stock levels and alert operations when thresholds are reached.
Approvals stop waiting in inboxes
Expenses and purchases route by amount and department, with every decision recorded.
Hot leads reach the right rep fast
Inbound leads are enriched, deduplicated and assigned in the CRM within minutes.
Managers see current figures
Scheduled syncs feed clean Airtable data into dashboards, with no manual exports.
Projects hand off without delays
Requests, approvals and deadlines move between teams automatically, with reminders before anything goes late.
Sample dashboards
From Airtable to dashboards: see your operations, not just your records
Airtable views are good for daily work but weak for management reporting. We model Airtable data next to CRM and finance data and deliver operations dashboards that track throughput, cycle time, backlog and workload by team. They refresh on a schedule, use the same definitions as your other reports and can be shared with leadership without opening the base to everyone. The example is built on demo data. Typical decisions it supports: where to add staff, which requests to prioritize and which processes to automate next.
Operations dashboard built on Airtable data
Demo dataOnboarding time4.1 days▼ -5.1 days
New clients (month)37▲ +9%
Manual steps/client2▼ -10
Failed automations2▼ -11
Onboarding cycle time fell from 9 to 4 days after automation
Average days from signed agreement to project start
So what: Automate the next most repeated workflow: approvals.
| Stage (days) | Before | After | Owner |
|---|---|---|---|
| Client record created | 1.5 | 0.1 | Sales ops |
| Project and tasks set up | 3.2 | 0.5 | Delivery |
| Welcome and kickoff | 4.5 | 3.5 | Account manager |
Open requests184▼ -12%
Requests over SLA21▲ +6
Throughput per week96▲ +14%
Workload per person11.5▲ +2.1
Design carries the largest backlog: 18 open requests per person
Open requests by team, current week
So what: Add capacity to design or reprioritize its lowest-value requests.
| Team | Open | Over SLA | People |
|---|---|---|---|
| Design | 72 | 11 | 4 |
| Delivery | 36 | 3 | 5 |
| Finance | 31 | 2 | 3 |
| Support | 45 | 5 | 4 |
How we work
Four steps keep your base stable
The four steps at a glance
Select a stage, use Next or the arrow keysReview. Know your risks. Review bases and automations to find duplicate fields, silent failures and usage limits. You decide what comes next.
Step 1 of 4
- Review. Know your risks. Review bases and automations to find duplicate fields, silent failures and usage limits. You decide what comes next.
- Design. Agree the blueprint. Agree the blueprint: the data model, linked records, permissions and workflows, with training where your team needs it.
- Build. Get tested workflows. Once you approve the blueprint, build, test and document every base and automation, so your team can maintain it.
- Improve. Keep improving. Monitor, train and refine as volume grows and new workflows are added.
Pricing
Engagement models let you match the commitment to the scope
You should not have to sign up for a large program to fix one workflow. A common path starts with a review or advisory sessions, adds training where your team needs it, and moves to a fixed-scope project or a monthly arrangement only once you are ready, so the engagement grows only as the value is shown. Fees are set in a written proposal after the first review, and any scope change is agreed in writing before extra work begins. Every model includes documentation and a handover, so you are never locked in.
Expert review while you build
Advisory: regular sessions for architecture review and platform choices.
A clear view before investing in AI
AI and data readiness assessment of your tools, data and processes.
A team that can maintain it
Training and workshops on base design and automation standards, where your team needs them.
A defined result, on a defined scope
Fixed-scope project, once the scope is agreed: a new base or MVP development, a spreadsheet migration or an automation cleanup, with acceptance criteria.
Ongoing capacity without hiring
Fractional operations and data team on a monthly retainer.
strategic planning advisory→AI and data readiness assessment→data modernization projects→analytics as a service→
Engagement finder
Which engagement model fits your situation?
2 questions. We suggest one engagement model. Nothing is sent anywhere.
Frequently asked questions
Airtable consultant: questions buyers ask before hiring one
Yes. Work often starts from an existing base. We review the structure, automations and permissions, rank the changes by priority and restructure without disrupting daily work, testing on a copy of the base before anything goes live.
Yes. Everything is built in your accounts and documented, including field definitions, workflow maps and how credentials are handled. You keep full ownership, nothing depends on accounts we control, and you can maintain the system yourself or with another provider.
Consider it when record limits, speed, complex permissions or integration needs start to hold the business back. We assess these factors honestly. Some teams keep Airtable for daily work and move only reporting, while others need a database, CRM or ERP.
Book an automation review and get a written list of fixes
Send us an overview of your base and automations. We will name the risks and the highest-value improvements. The review is remote, and the recommendations are yours to keep. Reviews are scheduled after a short intro call.