Services

Agents built into the tools you already use.

We build three categories of agent — customer support, sales and lead-qualification, and internal operations — plus the custom software and websites a workflow sometimes needs, and hands-on AI training for teams. BCG puts it at 10% algorithm, 20% tech backbone, 70% people and process. We do the 70%.

Fit

An agent isn't always the answer.

Before you book anything, here's how we judge whether a workflow is a fit. It's the same test we apply in the audit.

A strong fit when

  • The work is high-volume and repetitive: the same task, many times a week.
  • A person currently does it by following a pattern you could write down.
  • It lives in tools an agent can plug into — email, chat, CRM, helpdesk, docs.
  • There's a number that tells you it's working: hours saved, response time, leads handled.

Probably not yet when

  • Every case genuinely needs human judgment.
  • The process changes faster than you could document it.
  • The volume is too low for automation to pay back.
  • There's no digital trail — the work lives on paper or in people's heads.

Not sure which side you're on? That's exactly what the free audit is for — and we'll tell you honestly if the answer is "not yet."

Agents — our specialty

Three categories of agent.

Our specialty, and where most engagements start: agents built into the tools you already run, measured in hours saved per week.

01 — Customer support

Customer support agents

Tier-1 support follows patterns. Status checks, password resets, return policies, common how-tos — your team spends hours every week answering the same questions in different wording. An agent learns the patterns, handles the volume, and routes the genuinely tricky cases to a human.

Example workflows
  • Inbox triage and auto-response for tier-1 questions across email, chat, and forms
  • Smart routing by topic, urgency, and customer segment
  • Knowledge-base answers grounded in your real documentation
  • Status-check responses pulled from your CRM or order system
02 — Sales & lead-qualification

Sales & lead-qualification agents

Inbound leads need fast, useful first contact. An agent answers questions in real time, qualifies fit against your criteria, and routes hot prospects to a human while the interest is fresh. Your team spends time on the conversations that actually need a person.

Example workflows
  • Real-time response to inbound web-form and chat leads
  • Fit qualification against your ideal-customer profile and current capacity
  • Question-answering on pricing, scope, and timelines using your real sales materials
  • Calendar hand-off to a human rep once a lead is qualified
03 — Internal operations

Internal operations agents

Most operational workflows have a slow step — a document to read, a record to extract, a data field to compare — that bottlenecks the rest. An agent runs that step at the same quality your team would, faster, and at any hour.

Example workflows
  • Document processing: invoices, contracts, intake forms, scanned PDFs
  • Data extraction and validation from unstructured text into structured fields
  • Cross-system workflow orchestration — moving records from one tool to the next under business rules
  • Internal-question agents on top of your runbooks, policies, and SOP documents

A generic chatbot answers questions. An agent does the work.

If you've tried a website chatbot and been unimpressed, you've seen the difference already. Here's what we mean by an agent.

A Qala agent

  • Acts in your tools — updates the CRM, routes the ticket, moves the record.
  • Grounded in your documents, data, and business rules.
  • Escalates to a human when it isn't confident, with every action logged.
  • Measured against a number you chose: hours saved, response time, leads handled.

A generic chatbot

  • Answers from canned scripts or generic knowledge.
  • Lives in a widget on one page, apart from the real work.
  • Can't touch the systems where the work actually happens.
  • Counts "it responded" as success, whether or not the work got done.
Custom software

Need software, not just an agent?

Bring us what you need built — web apps, internal systems, full sites. If it helps your business run, we'll build it: on demand, scoped to the outcome rather than a feature menu, with AI built in where it earns its place.

Built end to end

Trucksy, our fleet-management platform, is software we designed, built, and run ourselves — the desktop app, its AI import agent, and the site around it.

See Trucksy →

Proof you're using right now

This site — and Atlas, the live agent on it — is our own build, end to end. What we'd ship for you is the kind of thing you're already using.

Talk to Atlas →

Scoped like everything else

Same path as an agent build: a free call, a scoped proposal with a real number, then we ship. One tool or a whole system.

Book the call →
AI training

What do the AI training sessions cover?

Hands-on sessions for business teams: where AI genuinely fits your workflows, how to use the tools well day to day, and how to judge what to trust — in plain English, no hype.

Shaped to your team

No fixed curriculum. We build each session around your tools and your workflows — the work your people actually do, not generic demos.

Practical from day one

Your team leaves with prompts, patterns, and habits they can use the same afternoon — and a clear sense of what not to hand to AI.

At your office or remote

Run wherever your team is. A session can stand alone, or become the first step toward an agent build.

Scope a session →
Proof

We'd rather show you than tell you.

We're a new agency, so we won't pad this page with logos. What we can do is show you working things.

AtlasOnline
Tell me about a workflow your team spends too much time on.
We spend about 12 hours a week triaging tier-1 tickets.
That's a classic fit. Tier-1 triage usually comes down 70–80%. Want me to walk through how?

Atlas — a live agent

Atlas is a working agent we built. Tell it about a workflow your team spends too much time on, and it'll tell you whether an agent fits — honestly, before you ever book a call.

Talk to Atlas

We also ship product: Qaladesk, a plug-and-play AI receptionist for small and growing businesses — built and run by us.

See Qaladesk →

What's live today

  • Atlas — a working agent on this site. Talk to it right now.
  • Qaladesk — live and plug-and-play. Free to get started.
  • Trucksy — live, tailored per operation. One fleet at a time.
  • AI training — newly offered, shaped to your team.

What you won't find here

  • Invented case studies or borrowed logos.
  • Testimonials we can't stand behind.
  • "Trusted by 500+ companies." We're new, and we say so.
How we work

Four steps, no surprises.

01

Discover

What happens

We sit down with the team that runs the workflow. Watch how it works today, where it breaks down, where the friction lives.

What's delivered

A workflow brief — current process, automation opportunity, rough fit assessment, and a concrete first agent we'd build.

How long

Two days to a week, depending on how many people we need to talk to.

02

Design

What happens

We spec the agent — capabilities, integration points, escalation paths, success metrics. We agree on what "working" means before we build.

What's delivered

A short technical spec your team can review and either approve or push back on. No surprises during build.

How long

A few days. Faster on simpler workflows.

03

Deploy

What happens

We build the agent, integrate it with your tools, and train the team that will work alongside it. We ship to a small pilot before going wide.

What's delivered

A working agent in production, integrated, with a runbook your team can reference. Plus a clear off-switch if anything goes wrong.

How long

Two weeks for a standard pilot; up to three when integrations are complex.

04

Optimize

What happens

We measure impact against the success metrics from Design. We tune what's not working. We expand scope when the foundation is solid.

What's delivered

Weekly metrics review during the first month, monthly after that. Concrete recommendations for what to ship next.

How long

Ongoing if you want — see the engagement models below.

Engagement models

Three ways to work with us.

Pilot Start here

Two-week pilot

Fixed scope, fixed price. One workflow, fully built and integrated. Designed for first-fit projects where you want concrete proof before committing further.

Quoted after the workflow audit, based on integration complexity.
Ongoing partnership

Multi-month partnership

Multiple workflows over a 3–6 month engagement. Spec a roadmap together, ship one workflow at a time, expand as wins land.

Per-engagement quote against the roadmap.
Retainer

Monthly capacity

Reserved engineering time for ongoing tuning, new agents, and small improvements. For teams already running production agents that benefit from continuous iteration.

Monthly retainer, scope reviewed quarterly.

Our promise: we keep tuning what we ship until it does the job we scoped — at no extra cost. The scope is agreed in writing before we build. That's what makes it a promise we can keep.

FAQ

Straight answers.

Typically three to four weeks end to end: a free audit (two days to a week), a few days of design, then the two-week pilot build. Integration complexity is the main variable. An agent on one clean system ships faster than one stitched across four. Either way, you'll have a realistic timeline before we start, not after.

We quote after the free audit, because cost tracks integration complexity more than anything else, and we'd rather give you a real number than a misleading range. The two-week pilot is fixed-scope and fixed-price, so you know the full cost before committing to anything. The engagement models above show how each format is priced.

No, that's the point. We build agents into the stack you already run: your helpdesk, your CRM, your inbox, your docs. If a workflow would genuinely be better served by a different tool, we'll say so in the audit. But rip-and-replace is not how we work.

The agent is built against your tools' integration points, so switching a tool means reconnecting that part — not rebuilding the agent. The logic, prompts, and workflows carry over. Re-integration is a small, scoped piece of work, and exactly the kind of thing the monthly capacity model covers.

Your data stays in your systems — agents work through the same permissioned access your team already uses, scoped to the minimum the workflow needs. Where a third-party AI provider processes content, we name it in our privacy policy and work within your data-handling requirements. Nothing about your business is used to train anyone's models, and all of this goes in writing in the engagement agreement.

It will, occasionally — anyone who says otherwise is selling something. So we design for it: the agent escalates to a human when it isn't confident, every action is logged and reviewable, and there's a clear off-switch from day one. During Design we agree exactly what it may do alone and what always goes to a person.

Agents need tending: knowledge bases drift, tools update, edge cases surface. The first month after deploy includes weekly tuning as standard. After that, most teams either run it themselves with the runbook we leave behind, or put a small monthly capacity retainer in place. We'll recommend whichever your situation actually warrants.

You do. The prompts, workflows, configuration, and any custom code from your build are yours, documented in the runbook. If we part ways, you keep a working system. We don't do ransom-model lock-in.

Yes. Agents are our specialty, but we build custom software and websites on demand — web apps, internal systems, full sites. Same path as an agent build: a free call, a scoped proposal with a real number, then we ship. If AI belongs in the build we'll put it where it earns its place; if it doesn't, we'll say so.

Practical AI use for business teams: where AI fits your workflows, how to use the tools well day to day, and how to judge what to trust. Sessions are hands-on and shaped to your team — no fixed curriculum — at your office or remote. A session can stand alone or become the first step toward an agent build. To scope one, book the same free call.

Ready to find your first AI win?

Free workflow audit. No commitment. We'll tell you honestly what fits — and what doesn't.

Prefer to chat? Message us on WhatsApp.