Success stories

Outcomes fromreal client work

How we help teams replace manual work with AI workflows, custom software, and automation that actually ships.

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PilotUpAI workflowsAviation & training

SEO content that used to eat the week now runs in under 10 minutes a day

PilotUp needed to rank for targeted keywords but keyword research and blog publishing were slow, manual, and inconsistent. We built a custom AI workflow that finds competitor gaps, produces publish-ready content, and keeps a human in the loop for final approval.

The problem

The team was stuck in a cycle of manual SEO work — hunting for keywords, checking what competitors ranked for, and drafting posts one at a time. Publishing fell behind, and the blog wasn't moving the needle on the terms that actually mattered for their market.

What we built

We mapped their content pipeline end to end, then built a custom AI workflow that surfaces keywords competitors already rank for, scores opportunity against PilotUp's goals, and drafts SEO-aligned blog posts ready for review. Publishing hooks in at the end so approved content goes live without rebuilding the process each time.

What changed

Keyword research and competitive analysis now take under 10 minutes per day instead of hours across the week. Blog publishing runs largely on autopilot — the team reviews and confirms before anything goes live, but the heavy lifting of research, drafting, and scheduling is handled by the workflow.

Under 10 min/day researchCompetitor keyword intelAutomated publishing pipelineHuman-in-the-loop approval

More anonymized outcomes from client engagements. For live sites and products we've shipped, see our portfolio.

Custom softwareTravel & tourism

Booking requests stopped getting lost between channels

A regional travel operator was juggling inquiries from email, WhatsApp, and web forms. We built one place to capture, route, and follow up on every lead.

The problem

Inquiries arrived in different places with no single view of who had been contacted or what was still waiting on a reply. The team spent too much time chasing threads instead of closing trips.

What we built

We mapped the full inquiry-to-booking flow, built a custom booking experience, and added automated follow-ups so no warm lead sat untouched.

What changed

The team now responds from one system, follows up consistently, and spends less time on admin. Booking conversations move faster from first message to confirmed trip.

Unified intakeFaster follow-upLess manual chasing
AI automationProfessional services

Inbound leads finally got a reply while they were still warm

A services business was losing momentum because new inquiries often waited hours for a first response. We automated intake, scoring, and routing into their CRM.

The problem

Reps manually checked inboxes, looked up company details, and decided who should respond. By the time someone replied, many prospects had already moved on.

What we built

We audited the intake process, built an AI workflow to acknowledge inquiries immediately, score fit, and route qualified leads to the right person with context attached.

What changed

First responses go out quickly, the sales team sees qualified leads first, and less time is spent on research that can happen automatically.

Instant acknowledgmentSmarter routingWarmer conversations
AI agentsB2B SaaS

Support scaled without adding another hire

As usage grew, the same support questions kept landing on a small team. We deployed an AI agent trained on their docs to handle repeat requests and escalate edge cases.

The problem

Tier-one tickets consumed most of the week: password resets, billing questions, and setup steps that were already documented but hard to find.

What we built

We structured their knowledge base, trained an agent on approved answers, connected it to their support stack, and defined clear escalation rules for complex issues.

What changed

Routine questions resolve immediately, customers get answers outside business hours, and the team focuses on problems that actually need a human.

24/7 first lineFewer repeat ticketsHuman time protected
AI workflowsOperations & finance

Invoice handling stopped being a weekly bottleneck

An operations team was copying invoice data between systems and reconciling by hand. We automated extraction, validation, and handoff into their existing tools.

The problem

Every invoice needed manual review, data entry, and cross-checking against other records. Errors were common and the process ate hours every week.

What we built

We mapped each step, built a workflow to read incoming invoices, flag exceptions, and sync clean data into the systems the team already used.

What changed

Most invoices move through automatically, exceptions are surfaced clearly, and the team spends time reviewing issues instead of doing repetitive entry.

Less data entryCleaner recordsFaster month-end

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