The difference is not the technology but what the thing is allowed to do. One answers from a script, the other reads your data and acts on it.
Published dateSeptember 18, 2026
An audit that lists two hundred issues is a document, not a plan. Ranking findings by the traffic they put at risk turns it into a work queue.
Most underperforming pages fail for the same three reasons: they load too slowly, they offer competing actions, and nobody can say where the visitor was lost.
Lab scores are a diagnostic, not a target. What decides the ranking signal is what real devices on real networks actually measured.
The bot is the easy half. The hard half is what happens when the CRM is down, the record already exists, or two updates arrive at once.
A practical scoring method for picking the first process to automate with AI — the one that pays back fast, proves the case internally and does not blow up in your face.
The AI assistant resolves two thirds of tickets before a person sees them, and the handover to an agent is clean. We measured it weekly with them and the numbers held.
Sarah Thompson
COO, logistics operator
Core Web Vitals went green on every template and organic traffic recovered within a quarter. The team explained every trade-off before making it.
Wade Warren
Head of e-commerce
They said no to two ideas we had and were right both times. What they did build has been running for a year without us touching it.
Lisa Williams
CEO, HealthTech startup
Our own engineers picked the project up in a week. Prompts, evaluations, tracing — all there, all explained.
Jennifer Lee
CTO, B2B services
A single well-scoped automation typically runs four to eight weeks from kickoff to production. An AI feature inside an existing product with real integration work runs eight to sixteen weeks. The biggest variable is how many systems we have to touch, not the AI itself.
Yes. Everything runs on your accounts and your infrastructure, and the repository is yours from the first commit — source, prompts, evaluation sets and documentation included. We are happy to stay on for support, but nothing is built so that you have to keep us.
Inference is usually the smallest line: a support agent handling ten thousand conversations a month typically lands in the low hundreds of dollars. Budget fifteen to twenty-five per cent of the build cost per year for maintenance, which covers failure reviews, prompt updates and model migrations.
We work inside your infrastructure and your data boundaries, use providers with zero-retention terms where required, and can deploy against self-hosted or regional model endpoints when regulation demands it. Data handling is agreed in writing during scoping, before any build starts.
We will say so. Part of the audit output is a list of processes that should not be automated yet — because the rules are not clear, the volume is too low, or classic software solves it more cheaply. Those lines are often the most valuable part of the engagement.