AI automation that does real work
PageLyft scopes, builds, and runs custom AI agents for the workflows your team handles by hand today. We own the infrastructure, you own the data, and we report back in hours saved and errors caught.
LA Clippers · Miami HEAT · Corsair · Azamara · Miami
An agent that handles the steps your team does today, with guardrails and human handoff where it matters.
What an AI automation agency actually does
As an AI automation agency, PageLyft builds and runs custom AI agents that handle real business workflows, the document review, processing, and error checking your team does by hand today. We deliver the agent done for you, keep it running under real load, and report back in outcomes you can verify.
We are not a platform you log into and operate yourself, and we are not a strategy deck that walks away after the kickoff. We scope the workflow, build the agent around your actual process, run the infrastructure, and give you clear data terms so the work and the data stay yours. That is the difference between business workflow automation that ships and an agent that breaks the first week in production.
What managed AI automation includes
Every engagement covers the full path, from mapping the workflow to reporting the ROI. You get a working agent and clear terms, not a login and a manual.
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Workflow audit and agent scoping
We map the process you want automated, document review, processing, and error checking, then define where an agent helps and where a person stays in the loop. You get a clear scope with expected hours saved before we build anything.
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Custom agent build
We design and build the agent against your real data and tools, not a generic template. It handles the steps your team does today, with guardrails and escalation rules so it knows when to hand off to a person.
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Fully managed infrastructure
We host, monitor, and maintain the agent so it keeps running under real load. When a step fails it retries and alerts us, not you. There is no platform for your team to babysit.
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Clear data ownership terms
Your data stays yours, with written terms covering how it is used, stored, and handled. You own the work product and can take it with you.
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Outcome reporting
We report in the numbers that matter to your business: hours recovered, errors caught before they shipped, and records processed per week. You see the ROI, not a usage dashboard.
How we ship business workflow automation
We follow the same four steps on every build, so you know the expected outcome before we commit to anything. The work moves in weeks, not quarters, and your team never has to operate the result.
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Scope the workflow
We map your actual process and find where an agent saves the most hours. You get a scope and an expected outcome before any build starts.
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Build around your process
We build the agent against your real data and tools, with guardrails and clear handoff rules where a person should stay in the loop.
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Run it under load
We host and monitor the agent so it holds up in production. Failed steps retry and alert us, so your team never has to operate anything.
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Report in outcomes
We track hours recovered, errors caught, and records processed against the baseline we set, so you can verify the ROI in your own numbers.
Custom AI agents vs SaaS tools vs hiring
Most buyers are weighing three options. Here is how done-for-you custom agents compare to generic tools and to adding headcount, on the axes that decide the call.
| Criteria | PageLyft | Generic SaaS and no-code tools | Hiring in-house engineers |
|---|---|---|---|
| Setup cost | Scoped to the workflow, fixed before we build | Low to start, climbs with seats and add-ons | A full salary plus ramp time before any result |
| Time to first result | Weeks, against your real data | Fast for simple tasks, slow once the process is non-standard | Months to hire, onboard, and build |
| Fit to your workflow | Built around the process you run today | You bend your process to their templates | Custom, but limited by one person's bandwidth |
| Reliability under load | Monitored, retries failed steps, alerts us not you | Breaks quietly when inputs drift | Depends on who is on call that week |
| Ongoing maintenance | We host and maintain it | Your team babysits the platform | Sits with the hire and their backlog |
| Data ownership | Yours, with written terms | Held inside the vendor platform | Yours, kept in-house |
How PageLyft compares to generic SaaS and no-code tools and to hiring in-house engineers across cost, speed, fit, reliability, maintenance, and data ownership.
Eight years of production work behind the agents
Production work behind the automation
We built and shipped software for brands that do not tolerate mistakes. That same discipline goes into agents that have to hold up under real load. Our named work is real and verifiable: the LA Clippers and Miami HEAT, Corsair and OriginPC, and Azamara Luxury Cruises, across roughly eight years of client delivery. AI automation is the newer edge of that work, so we will be direct. We will never show an AI client logo or a metric we have not earned. What we bring to your agent is the same engineering discipline that kept those production systems running, applied to a workflow that is yours.
Who custom AI agents are built for
- Operations and back-office teams losing hours to document review, data entry, or repetitive processing
- Mid-market firms that want automation built around their process instead of a tool their team has to bend to
- Businesses weighing another engineering hire against shipping a working result in weeks
- Teams that need clear data terms and cannot hand sensitive records to an off-the-shelf platform
AI automation, frequently asked
How much does it cost to build a custom AI agent?
It depends on the workflow, and we fix the scope before any build starts. A narrow, single-step automation costs far less than a multi-step agent that touches several systems. Public ranges run wide, from a few thousand dollars for a focused agent to six figures for complex builds. We scope your specific process, estimate the hours it saves, and put a fixed number in front of you before we write code.
What is the difference between AI automation and a generic SaaS tool?
A generic SaaS or no-code tool hands you a template and asks you to bend your process to fit it. That works until your workflow is non-standard, which most real workflows are. We build custom AI agents for business around the steps your team actually runs, with the integrations and error handling your process needs. You get a fit instead of a workaround, and an agent that does the work rather than a dashboard you have to operate.
Should I build AI agents in-house or hire an agency?
Hiring gives you control and headcount cost. An agency gives you a result in weeks with no payroll added. We win on speed and on the fact that there is nothing for your team to operate, and you still own the code and the data. If you already have a deep AI engineering bench, building in-house can make sense. Most teams do not, and waiting two quarters for a first hire to ship is the real cost of that path.
How long does it take to deploy a custom AI agent?
Weeks for most workflows, not months. The audit and scoping come first, so we build against your real data and tools from day one. Timelines depend on how many systems the agent touches and how much human review the process needs, which we set together before any commitment.
Do I own my data when an agency builds AI automation?
Yes. With PageLyft your data stays yours, backed by written terms covering how it is used, stored, and handled. You own the work product and can take it with you. We run the infrastructure, but the data and the output belong to your business, not to a platform you rent.
How do I measure ROI on AI automation?
We report in the numbers that matter to your business, not a usage dashboard. Hours recovered, errors caught before they shipped, and documents or records processed per week. We set a baseline during scoping so you can see the change against how the work runs today, and we keep reporting against it once the agent is live.
Put an agent on the work that slows your team down.
Tell us the workflow you want off your team's plate. We scope it, estimate the hours saved, and put a fixed number in front of you. We work from Miami and remotely.