Automated Reconciliation: Why It's the First Finance Process to Hand to an AI Agent
Automated reconciliation is the first finance process to hand to an AI agent. See why, what to measure, and where your accountants stay in control.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
HR Automation for Shared Services Teams: An AI Agent Roadmap Built on Real Requests
HR automation pays off when you start from real requests. See how to build an AI agent roadmap for a distributed HR team, with people in charge.
AI in Procurement: Why the Purchase Order Is Where to Start
AI in procurement pays off first in the purchase order process. See what to automate, what to measure, and where people stay in control.
Meet Dotty: the AI Teammate that gets smarter with every ticket
Every ticket your team closes today makes the next one a little easier. That's not a metaphor, it's literally how Dotty works. Dotty is the AI Teammate built into Teamwork Desk. It drafts replies from your help docs and resolved tickets, surfaces the ticket that already solved this exact problem, and summarizes hand-offs so context isn't lost. Your agents review and send: nothing goes out untouched. But the real story isn't any one of those skills. It's what they're building together.
9 best quoting software tools for services firms that price for margin
The quotes that hurt in my agency years weren't the ones we lost. They were the ones we won, priced fast from a blended rate and a gut feel on hours, then underwater a few weeks into delivery. I work at Teamwork.com now, after nearly a decade in agencies. Back then, quoting lived in spreadsheets next to a basic timer, so no quote ever saw what the team actually cost. Most guides judge quoting software on how fast and how good a quote looks.
Leaving Wrike? 8 alternatives, and which ones still track your margin
Before I joined Teamwork.com, I spent years running delivery in agencies. Most switches I saw started with the right complaint and the wrong cure: Wrike felt heavy, so teams moved somewhere lighter. Adoption jumped, but by the next quarterly review nobody could say which projects had made money. That gap is common. When Teamwork.com's The Sprint to AI report asked senior leaders at client service firms where their tools fall short, 38% cited profitability management.
Nifty Mobile App for Marketing & Web Design #agency #projectmanagement #clientmanagement #marketing
@icehounddigital breaks down how he uses NiftyPM to manage marketing and web development projects via the brand new Nifty mobile app, complete with Statuses, Tasks, Subtasks, and more!
AI Enablement in the Wild: Idea to Dev-Ready Story
Most "AI transformation" conversations stop at strategy. The harder problem is what actually changes in how a team works day to day. In this episode of Miro Reframe, Josh Guice — Principal Architect at Liatrio — shares a year of real field notes from AI enablement engagements: watching product managers shape ideas before engineering ever sees them, replacing slide-deck training with pairing and teach-back, and learning that no workflow sticks unless the team structure around it changes too.
Hubstaff vs Apploye: 90% people choose wrong
For a 10-person team, Apploye costs $540 a year and Hubstaff Team costs $1,200. Count Apploye's free owner seat and Hubstaff's Insights add-on after its 90-day trial, and the gap is $1,014 a year. Here is Hubstaff vs Apploye side by side: pricing, the plan most people compare by mistake, daily use, and where Hubstaff is the better buy. Made by the Apploye team. We have tried to keep it fair: every Hubstaff price is from Hubstaff's own pricing page and support docs (linked below), and if you manage field teams that need GPS or geofencing, we tell you to buy Hubstaff.
When anyone can be fast, what are you actually selling?
Debbie Levitt, CXO of Delta CX, refused to bring AI into her work for a long time. Three years ago she tested the tools, found they couldn’t think critically or get basic facts right, and kept them out of her process. A year later, despite her initial disappointment, she decided to run an experiment based on her real work, and was amazed by the results.