Blog

Title Icon

Building an Agentic Contact Center — CCaaS, SMS, and Voice With Agents in the Loop

A few years ago, the contact center buying decision was a spreadsheet exercise. You lined up CCaaS vendors in one column, a CPaaS/SMS provider in another, totaled the per-seat and per-message fees, and picked the cheapest stack that hit your channel checklist. The old buyer guides — including the ones we used to write — treated this as a procurement problem: voice here, SMS there, route the tickets, done.

Title Icon

What a Real WordPress Site Assessment Covers (and Why a Plugin Scan Isn't One)

A prospective client forwarded us a "WordPress audit" last year. It was a one-page PDF from a security plugin: a green checkmark next to "no known malware," a list of out-of-date plugins, and a recommendation to upgrade to the vendor's premium tier. The site, the report concluded, was healthy.

Title Icon

How to Choose an AI Consulting Partner: A Buyer's Guide

Choosing an AI consulting partner comes down to one test: do they ship a running system you own, or do they sell you slideware and pilots? Evaluate partners on delivery evidence, governance, transparent pricing, and real references. The right partner de-risks the 95% of AI pilots that never reach production — and stays accountable for outcomes, not demos.

Title Icon

KPIs for an Agentic Operation — What to Measure When Agents Do the Work

A few years ago, the operations dashboard was a settled science. You counted tickets closed, tasks completed, hours logged, and calls handled. Stack those activity metrics against headcount and you had a clean story about productivity: more people, more output, roughly linear.

Then you put agents into the loop — and the dashboard started lying to you.

Title Icon

How MSPs Turn Bumpy Roads Into Non-Events: A Practical Guide to Business Continuity for Growing Businesses

Every business hits bumpy roads. A server gives out on a Friday afternoon. A phishing email slips past someone in billing. The one person who knew how the booking system was wired quits with two weeks' notice. You sign a third location and suddenly nothing is consistent across sites.

The difference between a healthy company and a fragile one isn't whether these bumps happen — they happen to everyone. The difference is whether each bump becomes a five-minute footnote or a five-day crisis.

Title Icon

The Seven Shapes of Rework in Agentic Salesforce Work

Rework rarely announces itself. It shows up disguised as productivity — a revert here, a "fix:" follow-up there, a branch quietly closed and re-cut on a new base. Each looks like a small course correction. In aggregate, they are the single largest tax on a delivery stream, and in an agentic one — where an AI author ships fast and there is no default human reviewer standing between the model and the merge button — they compound faster than anyone expects.

Title Icon

AI Agents for Business: Use Cases and ROI

AI agents are software workers that plan, act across your tools, and finish multi-step tasks with limited supervision — not chatbots that only answer questions. For most businesses, the fastest returns come from high-volume, rules-heavy work: sales follow-up, operational data entry, first-line support, content production, and routine reporting. The value shows up as throughput, lower cost per task, and shorter cycle times.

Title Icon

High-Capability, Low-Control: A Maturity Model and Governance Spine for Agentic Salesforce Teams

The most dangerous Salesforce delivery team is not the one that lacks skill. It is the one that has plenty of skill and no brakes.

Title Icon

Agentic Development for Salesforce: Capability Is Cheap, Ground Truth Is Expensive

Something quietly inverted in Salesforce delivery over the last year, and most teams haven't repriced their work to match. An agent can now author a permission set, refactor an Apex batch class, write the test coverage, generate a data-migration script, and open a clean merge request — in minutes, without complaint, at a level of craft that would have been a mid-level developer's afternoon. The bottleneck everyone spent a decade optimizing — can we build it fast enough? — has largely dissolved.

Title Icon

Generative AI Consulting: What to Expect

Generative AI consulting helps a company move from scattered AI experiments to systems that run in production. A real engagement follows three phases — assess, pilot, scale — and ends with working software your team owns, not a strategy deck. Expect deliverables that ship, measurable outcomes, and a partner accountable for value, not billable hours.

Pages