An IT Consulting Firm's Runbook for Choosing Pylon or Plain

Before choosing anything, gather two weeks of actual client Slack or Teams messages across every account. Sort them into two piles: messages that needed a human to check something in your systems or a client's environment, and messages that needed someone to simply reply, acknowledge, or update a status. Most firms are surprised by how lopsided this split is.

A firm where the second pile dominates, account check-ins, invoice questions, scheduling, is better served by Pylon's queue and CRM sync. A firm where the first pile dominates, actual technical diagnosis, leans toward Plain, assuming the people replying are hands-on technical staff rather than a coordinator relaying to them.

Sort the messages with this sequence:

1. Collect two weeks of actual client Slack or Teams messages across every account.
2. Put messages that needed a human to check something in your systems or a client's environment into the first pile.
3. Put messages that needed someone to simply reply, acknowledge, or update a status into the second pile.
4. Note which pile dominates, since the split shows whether your bottleneck is technical context or reply coordination.

If technical messages get relayed from a coordinator to an engineer and back, that relay step is where delays usually happen, and it is worth asking whether the engineer should just answer directly inside the tool instead. Plain is built for exactly that: an engineer with live account context answering without a middle step.

If a single account manager already owns each client relationship end to end, including the technical parts, then Pylon's unified inbox keeps that person from needing to jump between separate tools for different account types. The right structure follows from how your firm already staffs client relationships, not the other way around.

A managed service or IT consulting firm often supports infrastructure shared across several clients, meaning one incident, a vendor outage, a shared platform issue, can generate messages across many channels at once. Pylon's aggregated queue makes it possible to see all of those messages together and respond consistently instead of client by client from memory, which matters a lot during an incident where the same explanation needs to reach ten different Slack channels accurately.

Plain does not offer that same cross-account incident view, since its design centers on one conversation's technical depth rather than coordinating many conversations at once. For firms where multi-client incidents are common, that gap is worth weighing seriously.

A dedicated operations hire to own support coordination across client accounts earns $105,770 a year at the median nationally¹, and that figure sits at the middle of a wide range, entry-level coordinators earn closer to $72,320 at the 25th percentile, while a seasoned operations lead can earn $167,280 at the 75th percentile. Either tool costs a fraction of a full-time hire and does not replace judgment, but it does remove a lot of the manual tracking that a coordinator would otherwise spend their day doing.

That comparison is worth making explicitly before assuming headcount is the simpler answer, since the tooling and the person are not actually substitutes for each other, they solve different parts of the same problem.

Whichever tool a firm picks, onboarding a new client, granting access, documenting their environment, tends to follow the same steps every time, and that is exactly the kind of repeatable process a checklist tool like Process Street holds well. Keeping that process out of one senior consultant's head protects the firm when that person is unavailable during a new client's first critical week.

A firm managing infrastructure on a client's behalf usually also has to escalate to a vendor, a cloud provider, a networking vendor, a software publisher, when the root cause sits outside the firm's own control. That escalation often runs in parallel with the client conversation, and it is easy for the two threads to drift out of sync if nobody owns tying them together.

Pylon's linked issue tracking helps keep a vendor escalation and the client-facing thread connected, so an update from the vendor's side can be reflected back to the client without someone manually copying it over. Plain does not manage that kind of external vendor relationship directly, since its integrations center on your own engineering tools rather than a third party's support system, so a firm leaning on Plain for technical depth may still want a simple shared log for vendor escalations specifically.