Practical support for surveying and AEC teams.
Review-ready deliverable support, practical AI guidance, and custom tools for surveying, SUE, and AEC teams. Work directly with a Texas RPLS who understands the field, the office, and the review desk.
Book a 30-minute consultSee how I can helpWe'll discuss the bottleneck, assess fit, and identify a sensible next step. No prep needed.
Three ways to move the work forward
Start with whichever problem is costing you the most. Each service is a separate engagement with its own written scope — for land surveying, subsurface utility engineering (SUE), and architecture, engineering, and construction (AEC) firms, and the business operations that keep them running.
Deliverable Support
Drawings, exhibits, and record-package support, prepared to your standards and reviewed by a Texas RPLS before delivery. Your RPLS retains review, adoption, and sealing.
First outputA defined drawing, exhibit, or record-review package.
Deliverable support →AI Consulting
Turn scattered know-how into a practical plan for AI use, with clear data rules, role-based training, and accountable decisions.
First outputA scoped readiness assessment, roadmap, or training engagement.
AI consulting →App Development
Reduce repeated entry and manual handoffs with tools built around the way your team works.
First outputA scoped prototype or workflow improvement.
App development →What the work looks like
One example per service. These are illustrative samples built to show the shape of a deliverable — not client work, and not an implied engagement.
QC notes with every deliverable
What was checked, what is open for the firm's RPLS, and what was delivered — the page a reviewer reads before the drawing.
How deliverable support works →Readiness map from an assessment
Four workflows, who owns them, which one becomes the first pilot, and the human review point that makes it safe to try.
How AI consulting works →Record-package intake tool
Instruments indexed once, plotted status tracked, conflicts flagged for the RPLS, and a review summary drafted from the same data.
How app development works →One person, accountable for the work
I've spent more than twenty years in Texas surveying — in the field, running production, and on the review desk where drawings either get signed or get sent back. That's the experience every engagement draws on: what a record package needs to say, what a reviewer checks first, and where a workflow quietly loses time.
Working directly with me means the person who scopes the work is the person who does it and reviews it. Deliverables go out reviewed by a Texas RPLS and prepared for your firm's RPLS to adopt and seal. Consulting and software work is scoped in writing, one engagement at a time.
Clear scope. Direct access. Work you can review.
Start small
Your first engagement is a single deliverable, a scoped assessment, or a small prototype — small enough to judge before committing to anything larger.
Work by work order
Each engagement gets a one-page work order: scope, deliverables, turnaround, inputs, and what a revision includes. You approve every change in scope before it happens.
Continue when the fit is proven
If the first piece of work earns it, we can set up a standing arrangement — capacity, cadence, or support. If not, you've bought one small deliverable and learned something.
Find the right next step for your team.
In 30 minutes, we'll discuss what's slowing the work down, whether Apollo Lens is a fit, and what a first engagement could look like. No prep needed — just bring the problem you want to solve.
- What's slowing the workThe backlog, the AI question, or the manual step that keeps recurring.
- Whether it's a fitScope, constraints, and whether I'm the right person for it. I'll say if I'm not.
- A sensible next stepA first deliverable, a scoped assessment, or a pointer to something you already own.
30 minutes with John Andricopoulos, RPLS, by video call. Just your name and email to book.
Prefer to open the booking page directly? savvycal.com/apollolens/consult-meeting · or email info@apollolens.io