Where the work escapes
Stop losing hours to work AI can already handle. Sales, operations, service, finance, retention, knowledge — the hours vanish from all six, every week.
Today: Hours a week lost across sales, operations, service, finance, retention and knowledge
What it costs
Hours re-entering information you already hold. Leads going cold. Invoices paid late. A client who left months before anyone noticed.
Today: Capacity you are paying for and not getting
AI consulting
Who touches it, what gets decided, which systems it crosses, and exactly where it falls through. That map is yours whether you build anything with us or not.
Today: Nobody can say where the work actually goes
With AI Consulting: A written map of every step, every handoff and every gap: yours to keep
AI automation
The copying, the chasing and the re-keying come out. Judgment stays with your team: anything touching a customer, money or a commitment keeps a review step.
Today: Copying, chasing and re-keying, every day
With AI Automation: Those hours back, and the work happening on time without being chased
AI agents & integration
CRM, documents, forms and inboxes connected so a job moves through them without a person carrying it from one to the next.
Today: Systems that do not talk to each other
With AI Agents & Integration: A job moves through your whole stack without a person carrying it
What you keep
The same work, fewer hands, and hours back for the people whose judgment you actually pay for. Book a call and we will find your leaks first.
After: Nothing falls through, and judgment stays with your team
One workday, two ways
Drag the busywork out of your day
The left side is how the day runs by hand. The right is the same day with the routine work handled. Slide between them.
Your team, doing the work software should be doing.
Your team, on the work that actually needs them.
Based in Albuquerque. Working with businesses anywhere, remotely.
The starting point
Not the speculative kind. The ordinary, repeatable work that quietly consumes hours every week.
Four ways we help Albuquerque companies put AI into day-to-day operations.
Automate repetitive workflows across the tools your team already uses.
Explore AI AutomationBuild AI agents that handle multi-step business tasks: research, triage, routing, follow-up, and internal operations.
Explore AI AgentsIdentify the highest-value AI opportunities inside your organization and create a realistic implementation plan.
Explore AI ConsultingConnect AI with your CRM, documents, forms, databases, communication tools, and internal systems.
Explore AI IntegrationBefore AI / After AI
Nothing here is hypothetical. This is the intake process most businesses run by hand today.
A person still reviews anything that needs judgment. The goal is to remove the copying, re-typing and chasing, not the decisions.
Four stages, in order. You will know what is being built and why before anything is implemented.
We map how the work runs today — who touches it, where information changes hands, and where it waits. The constraint is rarely where people expect it to be.
We rank what we found by likely value against likely effort, and say plainly which items should wait for evidence rather than budget.
We build against your real systems, test with historical cases including the messy ones, and stage the rollout so something useful runs early.
We measure against the numbers agreed before the build, tighten what underperforms, and expand only what has actually proven out.
Concrete tasks we implement, grouped by the part of the business they sit in.
Each card is a process we have built end to end: intake, decision, action, record.
ABQ AI Labs helps Albuquerque businesses adopt AI without chasing hype or forcing teams into unfamiliar technology. We focus on practical systems that fit the way your company already works.
Being based in New Mexico means we can sit down with your team, watch how the work actually happens, and stay involved once the system is running. Most of the businesses we work with are not technology companies. They are firms with real operational constraints, existing software, and staff who need the change to be worth the disruption.
We start with the operational problem, not the AI tool. If a form change or a feature you already pay for solves it, that is the recommendation you get.
Systems built on the software your team already knows, so adoption does not depend on anyone staying enthusiastic about a new tool.
Automation should remove the copying and the chasing, not the judgment. Anything touching a customer, money or a commitment gets a review step by default.
Someone who can watch the work happen in person, and who stays reachable when a process changes six months after launch.
Results
We agree on the numbers before the build starts, so there is an honest answer to whether it worked.
ABQ AI Labs is a new practice and we do not publish client results we have not earned. This section will carry named case studies as engagements complete.
On the bench
A new practice has no wall of logos, and we will not fake one. This is the live proof instead: what we have built, run, and are building right now.
These are descriptions, not case studies. Names, logos, and any number we cannot stand behind are left out on purpose. As engagements complete — and clients agree to be named — the redactions come off.
Our own operation
The booking flow on this site. A visitor picks a slot, pays, and lands on a real calendar. No phone tag, no human routing, no lead sitting overnight. We run the same speed-to-lead machinery we scope for clients.
Our own operation
Six questions about one workflow, scored by rules the result screen shows you, ending in arithmetic built from your own answers. Deterministic and labeled as such. No fake AI theater.
Our own operation
Every output shows the formula behind it, and when your numbers say a build is not worth doing, it tells you exactly that instead of selling you one.
Our own operation
The pages, structured data, and search plumbing of this site are produced and audited by AI agents working under human direction. The practice runs on what it sells.
Client work · afterwrknm.com
A scroll-driven product film with a live 3D model picker, built for Afterwrk Vending Co. and published at afterwrknm.com. A 28-route organic-search site with self-serve qualification tools alongside the film. Delivered by our founder's studio.
The next line on this bench could be yours. Scope it in a $250 audit
Straight answers, including the ones that end with “don’t hire us for that.” If yours is not here, the first conversation is free.
That is the job. You describe what eats your team's time — in your own words, no preparation — and we map where it goes, rank what is worth automating, and tell you plainly what to leave alone. Most clients arrive exactly here: sure there is waste, unsure where the fix is.
More than most owners expect. The test is not your industry. It is whether work repeats: leads answered, invoices chased, details re-keyed between systems, the same six questions answered every week, reports built by hand. If your team does the same tasks every day, some of them can run themselves.
There are two ways in, and most people should start with the first. A free phone consultation costs nothing: a short call where you describe the process and we work out whether there is anything here worth looking at: if there is not, we say so. It is a conversation, not two hours of consulting. The $250 Systems Audit is the paid step up: two hours on the workflow costing you most — onsite or over Zoom — ending in a written report you keep covering where the time goes, what to automate first, and what each piece would involve. Any build after that is scoped and priced in writing before implementation starts.
Almost never, and we treat replacement as a last resort. Your team already knows your tools, and that knowledge is worth protecting. We build around what you run. The automation does the copying and chasing between systems your people currently do by hand.
Almost certainly. Mainstream CRMs connect well: reading and updating records, logging every touch automatically, triggering follow-ups, and keeping your other tools in sync with it. The usual outcome is a CRM that is finally accurate, because nobody has to remember to update it.
Yes, and in plain English, an agent is a system that carries a whole multi-step chore: read the request, gather what is missing, do the routine steps in order, and hand a person the finished piece. It acts within rules you set and escalates the moment something needs judgment.
We build systems that absorb busywork, not headcount. Judgment, relationships, and exceptions stay human: anything touching a customer, money, or a commitment keeps a review step by default. What owners actually get is capacity: the team you already pay, doing more of the work that needs them.
That depends entirely on what passes through which service, so we map exactly that before anything is built. You will know which systems touch which data, and where sensitivity demands it, we pick tooling and data-handling terms to match. Nothing sensitive moves without it agreed in writing first.
A single focused automation is a short project. You should see it running on your real work quickly, not after a season of meetings. Bigger integrations take longer, and we stage them so something useful ships early. Either way the timeline arrives with the scope, and we would rather give you an honest one than a heroic one.
We are based here and love working locally, sitting in your office and watching how the work really happens beats any questionnaire. But the systems themselves are built and maintained remotely, so businesses anywhere get the same result. The only difference is whether the first meeting has coffee in it.
Then you will hear exactly that, in writing, before you have spent anything on a build. Some processes should stay human; some need a checklist, not a system. The audit report says so plainly when that is the verdict, and you still leave with the map of where your hours go, which is worth the session by itself.
A short call. You describe the process that is costing you time, in your own words. No preparation, no technical vocabulary, no pitch deck. We tell you whether it sounds like something worth investigating further, and if it does not, you will hear that. Taking the process apart properly is the paid audit; this call is how you find out whether that is worth booking.
Next step
We’ll look at how your work runs now, identify where AI could save time or remove repetitive steps, and help you decide what is worth implementing.
Free phone consultation · a short call, no prepared brief needed. Already know the workflow you want examined? The $250 Systems Audit is a two-hour working session, onsite or over Zoom, with a written report you keep.
ABQ AI Labs