{"id":8369,"date":"2026-11-13T13:10:00","date_gmt":"2026-11-13T13:10:00","guid":{"rendered":"https:\/\/www.devopsconsulting.in\/blog\/?p=8369"},"modified":"2026-11-13T13:10:00","modified_gmt":"2026-11-13T13:10:00","slug":"devops-consulting-trends-automating-repeatable-work","status":"publish","type":"post","link":"https:\/\/www.devopsconsulting.in\/blog\/devops-consulting-trends-automating-repeatable-work\/","title":{"rendered":"DevOps Consulting Trends: Automating the Repeatable Work"},"content":{"rendered":"

A pattern is becoming visible in how DevOps consulting engagements are run. The better ones no longer open with a tool purchase or a sweeping target architecture. They open with a few weeks of deliberately manual work: reading the pipelines, walking through the release by hand, interviewing the people who actually do the on-call. Only after that do the consultants pick out the steps that repeat unchanged and convert them into templates, checklists and scripts. The shift is gradual, but it is changing what clients ask for and what advisers deliver.<\/p>\n

The state of play<\/h2>\n

For years, consulting deliverables were mostly documents. An assessment report, a roadmap, a set of recommendations, each assembled largely from scratch for each client. Clients paid, quite reasonably, for the expertise behind the documents. Yet a good part of the labour was clerical: collecting inventory, normalising the findings, formatting the same sections for the tenth time.<\/p>\n

Two forces are pushing against that habit. Clients want evidence of progress sooner, and consultants know that clerical work crowds out thinking. The result is a growing practice of treating the engagement itself as something to be improved by automation, provided that the automation follows understanding rather than precedes it.<\/p>\n

Trend one: manual discovery before any tooling<\/h2>\n

Engagements that begin by installing a platform tend to find, a quarter later, that the platform automates a process nobody had examined. Teams now push back on this. A manual discovery phase, even a short one, exposes where handoffs stall, which approvals are ceremonial, and which steps depend on one person’s memory.<\/p>\n

That phase is also the source material for automation. Notes from three or four manual walkthroughs, laid side by side, reveal what is constant. Constant steps are candidates for scripting. Variable steps point to decisions that need people.<\/p>\n

Trend two: reusable assessment assets<\/h2>\n

Consultants who run many similar engagements are building their own internal templates: interview guides, inventory spreadsheets, report skeletons, kickoff checklists. This site has looked at one version of the idea in an article on generating assessment reports and transformation roadmaps with a consultant toolkit<\/a>. The broader point holds regardless of product: when a deliverable is assembled the same way every time, the assembly is a job for a template, and the findings are a job for a person.<\/p>\n

A caution that experienced advisers repeat: a template should save typing, not thinking. Skeleton sections that are left unedited are a sign that nobody looked hard at the client’s reality.<\/p>\n

Trend three: testing as the first automation clients accept<\/h2>\n

When clients are asked which repeated step they most want removed from their delivery process, regression checks rank near the top. They are tedious, predictable and easy to measure. An overview of how consultants approach automated testing to improve quality and delivery speed<\/a> shows why it tends to be the first thing automated.<\/p>\n

What matters for the trend is the sequence. Teams that skipped manual exploratory work and automated a thin set of checks soon found them brittle. Teams that ran tests by hand, learned which failures mattered, and then automated those, ended up with suites they trusted.<\/p>\n

Trend four: the human checkpoint is being specified, not assumed<\/h2>\n

Mature engagements now define, in writing, which steps remain with a person. Approvals for production changes, exceptions to a policy, the call on whether to roll back: these are named as human decisions, with a responsible role attached. This is a notable change from earlier enthusiasm in which automation was expected to absorb everything.<\/p>\n

A practical way to record it is a two-column table. The left column lists steps the script performs. The right column lists steps a named role performs, each with the information that role needs in front of them. Reviewing this table every quarter keeps both columns honest.<\/p>\n

What clients should ask their advisers<\/h2>\n