[et_pb_section fb_built=”1″ admin_label=”Section” _builder_version=”4.22.0″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_padding=”50px||||false|false” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_column type=”1_4″ disabled_on=”on|on|off” _builder_version=”4.22.0″ _module_preset=”default” custom_padding=”||||false|false” sticky_position=”top” sticky_offset_top=”100px” sticky_limit_bottom=”section” motion_trigger_start=”top” global_colors_info=”{}”][et_pb_text admin_label=”indice” _builder_version=”4.27.5″ _module_preset=”default” custom_margin=”||0px||false|false” custom_padding=”||14px||false|false” link_option_url=”#1″ global_colors_info=”{}”]<\/p>\n
Sections<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_text admin_label=”seccion” module_id=”1″ module_class=”ittopicscontent” _builder_version=”4.27.5″ _module_preset=”default” z_index=”0″ custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” hover_enabled=”0″ custom_css_main_element=”font-family:%22Pandora-Light%22;” locked=”off” global_colors_info=”{}” sticky_enabled=”0″]You can do the right thing for the wrong reasons, and that makes all the difference<\/strong>. It happens with MSP automation, which too often is implemented like buying into seasonal sales: a rushed, FOMO-driven spree without a shopping list, convinced that some good will come of it just because marketing beats the drum… Or because some guy on LinkedIn who looks like a proper guru said so. And then, the margin stays the same or gets worse<\/strong>, because we drown in tokens or get squeezed by the licence of that tool that was going to save us like Gandalf at dawn on the fifth day, but only ends up bleeding us dry. Until we transcend the material plane, or the future of Star Trek comes true, nothing in life is free and automation is no exception<\/strong>. Thus, we can use those 5 factors as a checklist and, if one of them fails or is missing, the automation priority drops<\/strong>. All MSPs are alike, no matter how much school lied to us by saying we were special. That is why the first step is to map processes<\/strong> and, in our experience, there are a series of usual suspects that often repeat themselves, devouring margins faster than the Cookie Monster.<\/p>\n All these leeches of profit have something in common:<\/p>\n They are like a treasure map in reverse, because they mark with an X where the margin is being lost.<\/p>\n This is the million-dollar question, and the million-dollar answer is to identify, in our case, what has the greatest accumulated impact on margin when we leave it in human hands<\/strong>. If we do not know what we have, we cannot manage anything reliably. Each new customer involves configuring agents, defining thresholds and setting up alerts. When a new device enters the system, it must automatically inherit the policy that corresponds to it according to its type, customer and function. If the system knows that when a print queue service gets stuck the solution is to restart it, what sense does it make for a technician to do it? Disk space checks, availability of critical services, memory consumption by trend… These validations must happen on their own, in defined cycles, without anyone having to remember to launch them. Manual reporting is one of the quietest drains on margin. Not every event deserves the same response or the same technician who ends up doing everything. Patches, cleanups, backup verifications… They are predictable, repeatable and perfectly automatable. Now let\u2019s look at the dark side, and here Spock and his Vulcan wisdom in The Wrath of Khan take the floor when he said: \u201cThe needs of the many outweigh the needs of the few\u201d. We have already seen the components of the equation; now it is time for the order. Fortunately, prioritisation logic does not need to be complex to be useful. The fundamental practical rule can be summarised as:<\/p>\n High volume + Low variability + Clear impact = High priority.<\/strong><\/p>\n Anything that does not meet those three conditions at the same time can wait for a second or third phase<\/strong>; there is no need to choke on it. When automation is built on good prioritisation, the changes in operations are concrete and measurable<\/strong>, not just an empty speech about continuous improvement in the meeting PowerPoint. We have all fallen for the siren songs of the marketing behind a tool that promised heaven or was fashionable, only to then try to force it into our processes however we could. Don\u2019t worry, I am not going to be that salesperson from the previous paragraph. I think it is also clear that I am a terrible seller. In Pandora FMS, reusable policies and templates<\/strong> encode operational knowledge once and apply it to all customers with the corresponding typology. This means that a new device automatically inherits the policy that corresponds to it without manual intervention, risk of omission or dependency on whoever happens to be available at that moment. Habla con el equipo de ventas, pide presupuesto, o resuelve tus dudas sobre nuestras licencias<\/p>\n ” content_phone=”<\/p>\n Habla con el equipo de ventas, resuelve tus dudas sobre nuestras licencias o pide presupuesto<\/p>\n ” content_last_edited=”on|tablet” _builder_version=”4.22.0″ _module_preset=”default” header_2_font_size=”2em” text_orientation=”center” module_alignment=”left” custom_margin=”0px||20px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n Habla con el equipo de ventas, pide presupuesto, [\/et_pb_text][et_pb_code _builder_version=”4.27.4″ _module_preset=”default” width=”200px” module_alignment=”center” custom_margin=”40px||0px||false|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n\n
\nIt may sound like heresy these days, but the reality is that automation<\/a> is not always optimal by default. It is optimal when we choose well what to automate, when to do it and in what order<\/strong>.
\nBut an MSP<\/a> that automates the wrong thing first does not gain efficiency: it gains complexity without return<\/strong>, technical debt that someone will have to pay and a false sense of innovation that never reflects on the bottom line<\/strong>.
\nThat is why this is not another ode to automation in the abstract so that we, too, can look like gurus on LinkedIn. It is a guide to prioritising it where it hurts most: in the processes that erode margins<\/strong>.<\/p>\nWhy not every process deserves to be automated first<\/h2>\n
\nDesign time, implementation, testing, maintenance, licences… If that cost is not recovered through real and measurable efficiency, automation is a luxury disguised as improvement<\/strong>.
\nSo, how do we start on the right foot?
\nBy selecting processes properly.
\nFor a process to be worth automating, it must meet several requirements at the same time:<\/p>\n\n
\nIf, for example, a task happens twice a year, has many exceptions or depends on a context that only a human can interpret properly, automating it first is not efficiency, it is distraction.
\nAnd that distraction does not have zero impact: it creates additional technical complexity that someone will have to maintain, debug and explain to the technicians who arrive later.
\nThat is why automating without judgement is worse than not doing it.<\/p>\nWhich processes usually erode MSP margins the most<\/h2>\n
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Which processes an MSP should automate first<\/h2>\n
\nHere is where to start looking if this applies to our particular case.<\/p>\n1. Asset discovery and inventory<\/h3>\n
\nManual inventory is slow, inconsistent and becomes obsolete almost the moment it is finally completed.
\nAutomating it provides real visibility and is the starting point for everything else.<\/strong>
\nWithout this step, the rest of the automations will be constructions built on sand.<\/p>\n2. Initial monitoring deployment and configuration<\/h3>\n
\nIf that process is done by hand, it becomes expensive, slow and prone to errors<\/strong>. But with templates and automated deployments, what used to take days now takes hours, and the result is more consistent across customers.
\nLess variability means less future reactive support.<\/p>\n3. Application of standard policies and templates<\/h3>\n
\nWithout that, MSP service standardisation<\/a> remains nothing more than wishful thinking.<\/p>\n4. Basic corrective actions and self-healing<\/h3>\n
\nSelf-healing (detecting the condition, executing the corrective action, verifying the result and closing the incident) is the type of automation that frees up the most hours per euro invested<\/strong>.
\nIf we leave it to automated silicon workflows, the customer remains blissfully unaware, the technician does not waste time and the SLA remains intact.<\/p>\n5. Recurring health and capacity validations<\/h3>\n
\nAnd they must act by trend, not only by a one-off threshold<\/strong>.
\nThat way, we do not want to know that the disk is full; we want to know it forty-eight hours before it ruins our Friday.<\/p>\n6. Generation of periodic reports<\/h3>\n
\nAutomating it frees up time and forces us to define what we want to measure, which usually improves the quality of the reports themselves.
\nIn addition, well-built automated monitoring reports<\/a> also have commercial value. They show the customer that the service works without anyone having to write anything.<\/p>\n7. Escalation and initial classification of repetitive events<\/h3>\n
\nAutomating the initial classification (priority level, type and escalation path) reduces noise and protects the time of senior profiles for the things that truly require their judgement.<\/p>\n8. Scheduled maintenance tasks<\/h3>\n
\nDoing them by hand adds no artisanal value, only risk of forgetfulness and unnecessary variability.<\/strong>
\nAs we can see, none of these processes has great differential value if executed by a human or a machine, but they do carry a significant cost when left to grow unchecked.<\/p>\nWhich processes should not be the first priority<\/h2>\n
\nApplied to automation<\/a> in an MSP, this means that limited resources must go where they impact more processes, more times and with more real consequences<\/strong>.
\nWhat has little impact, arrives late or behaves unpredictably can wait.
\nThat is why it is worth leaving for later the processes that happen only a few times a year, since the cost of automating them is rarely amortised.
\nIt is also better to leave aside those with many non-standardised exceptions because automating unresolved variability does not simplify anything<\/strong>; it only produces chaos at greater speed.
\nAnd of course, no automating processes that affect critical production changes without a prior validation environment or a clear rollback procedure.
\nIf that is already heart-attack material when done by trembling humans, automating it in a rush is like taking measurements for the coffin of our MSP.
\nFinally, flows that depend on human decisions based on context the system cannot read <\/strong>(customer relationships, expectation management, qualitative criteria…) still need people.
\nAutomating there removes value.<\/p>\nHow to decide the right automation order in an MSP<\/h2>\n
\nA simple matrix for those identified processes would be enough, considering:<\/p>\n\n
\nThis framework is also connected to the automation and standardisation model for MSPs<\/a>. As we already saw when discussing the topic, without prior standardisation, automation does not scale<\/strong>.
\nThat is why the expected behaviour of the process must be defined first, and only then should machines execute it with guarantees.<\/p>\nWhat changes in operations when automation is applied with judgement<\/h2>\n
\nThe signs that we are getting a little closer to the Nirvana automation promises are reflected in green shoots like these.
\nTechnicians stop doing tasks that do not require their knowledge and gain time for higher-impact work<\/strong>, such as improvement projects, trend analysis, spinning up a game server under the radar or proactive support.
\nLikewise, operations are no longer carried on the backs of the same people as always<\/strong>. If the process lives in the system and not in the head of John the Genius, it does not stop when that person is on sick leave or has decided that life is better at the competition.
\nIn addition, operational errors decrease<\/strong> because machines do not get distracted, do not get tired and do not forget steps after eight hours of staring at a screen with bloodshot eyes.
\nThe quality of the service is more consistent<\/strong> for customers, regardless of who is on call.
\nOur scaling capacity increases, making it possible to operate hundreds of customers with the same technical team<\/a>.
\nThe consequence of all the above is the key point of this entire article: margin protection<\/strong>. This is the natural result of doing less repetitive, low-value work with the same number of people.<\/p>\nWhy the tool matters less than the process you decide to automate<\/h2>\n
\nThat way, we automate what the tool is good at (or what is easiest), but if it does not match our highest-impact processes, we are paying for a placebo<\/strong> and probably eroding the margin we came to save.
\nA good tool helps a lot, but it neither compensates for nor replaces poor prioritisation, or implementation without prior standardisation.
\nIT operational efficiency <\/a>does not come from buying the most sophisticated solution on the market, no matter how much an annoying salesperson says so. Reducing the support burden in an MSP<\/a> is an operational decision before it is a technological one.<\/p>\nHow Pandora FMS helps automate high-impact MSP processes<\/h2>\n
\nWhat is true is that Pandora FMS is built on the operational reality of the trenches in multi-customer environments.
\nThere, efficiency depends on being able to apply the same processes to many different organisations without losing control or tenant context<\/strong>, and where IT monitoring has to go beyond knowing whether a server responds to ping.
\nIn deployment terms, Pandora FMS makes it possible to configure agents, apply templates and define thresholds in a centralised and repeatable way<\/strong>.
\nThis way, what in a manual operation requires days of work per customer becomes, in Pandora, a replicable process from the first onboarding. That translates into:<\/p>\n\n
\nFor its part, response automation<\/strong> (self-healing, automatic escalations, corrective actions for known conditions…) removes human intervention where it adds no differential value.
\nThe system detects, acts, verifies and records, so the technician only appears when the situation requires it. Exactly as it should be.
\nMulti-customer visibility<\/strong>, centralised in our Metaconsole, which is like a Palantir but benevolent, makes it possible to monitor the status of all environments from a single point, with data segregation, granular permissions and full context.
\nThat is what makes it possible to detect incidents before they impact the customer<\/a> and act in a planned rather than reactive way, which is always cheaper and less stressful.
\nAutomated reporting generates periodic reports without manual intervention, with the format and frequency each customer requires. On the other hand, event management with correlation and intelligent filtering reduces operational noise and protects the technical team\u2019s time for what really matters.
\nAnd since nowadays it is one battle after another (the most overrated film of the decade), Pandora SIEM complements this view in environments where security is part of the service, aligned with reference frameworks such as those from ENISA<\/a> or CISA<\/a>, unifying security event visibility with the rest of the infrastructure monitoring<\/a> and IT systems <\/a>under management.
\nIn this way, security is not a separate piece; instead, Pandora SIEM is a whole immune system in our infrastructure, detecting anomalies and suspicious patterns.
\nLet\u2019s recap a little, because my literature teacher used to say that summarising is a valuable skill.
\nAn MSP protects its margin when it first automates what generates the most repetitive work, human error and operational cost every day. Not the flashiest thing, not the most interesting from a technological point of view and not what the latest tool provider presented in its last webinar.
\nProfitable automation is the kind that systematically reduces operational friction, frees up senior staff time so they can do something better than polishing their resumes because they are drowning in tickets, and allows growth without costs growing at the same pace.
\nThat is how people and machines really work together, in that Nirvana\u2014at least until the machines stab us in the back and we have to break out the shotgun.
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