Can You Vibe Code a Time Tracking and Resource Planning Tool for a Consulting Firm?
With modern AI tools, it is becoming surprisingly easy to build internal software. Give Claude Code, Codex, or another coding assistant a clear prompt and you can quickly assemble dashboards, databases, and internal workflows.
This raises an obvious question for consulting firms.
Could you just vibe code your own time tracking, resource planning and invoicing tool instead of buying one?
In theory, yes. In practice, it is more complicated.
Now here is a word of warning. I am a founder of a platform like this, so my opinion will inevitably be biased, no matter how objective I try to be. At the same time, this category of software is the one thing we think about constantly. We see the edge cases, the strange workflows, the operational tradeoffs, and the long-term consequences because it is the problem we spend our time on.
If you are comfortable with that bias, read on. This will also be a fairly long text.
The Temptation to Build Your Own Tool
One of the firms we spoke with recently had already built an MVP of an internal resource planning tool while procuring for a new one. It handled parts of their resource planning workflow and could potentially evolve into something that replaces their current platform entirely. For us it means that we're in a sales process against an internally built option. While this is not anything new, this is a situation that I foresee becoming increasingly common.
With AI-assisted development, the barrier to building internal tools has dropped dramatically. A small engineering effort can produce something usable in weeks. When a consulting firm understands its own delivery model well, the idea of building something tailored is very appealing.
At the beginning, these tools often work quite well. The first version typically solves a very real operational problem and it definitely makes a great Linkedin post. (I will keep on posting about my own vibe coding conquests) It might provide better visibility into project staffing, or offer a clearer way to track consultant allocations. Sometimes it starts as a simple timeline showing who is working on what.
The trouble appears once the tool becomes operationally important.
Many vibe coded tools work well because they replace one point solution. A team might rebuild a simple time tracking tool, a staffing timeline, or a reporting dashboard. That is often achievable with modern AI-assisted development.
But tool like Operating does not just solve one isolated problem, but an interconnected process that one could call "delivery-to-cash process of a professional services firm". It connects multiple parts of consulting workflow: staffing, time tracking, project financials, revenue recognition, and invoicing—often connected with other platforms like CRM, HRIS, and billing. (That's human-added em-dash btw.)
Once these pieces start interacting with each other, the system behaves less like a small internal tool and more like an ERP system for a consulting firm. Replacing one component is relatively easy. Replacing the entire workflow behind it is where the complexity appears.
The Hidden Complexity of A Professional Services Automation Platform
Running a consulting firm or an agency involves more complexity than most internal tools anticipate.
Once teams begin relying on the system for day-to-day operations, the requirements expand quickly. Permissions become critical because the system contains client information, financial data and people's salaries. User management becomes more complicated as consultants join, leave, change roles, or work across multiple teams.
Billing also turns out to be less straightforward than expected. A firm may run time-and-materials projects, fixed-price engagements, retainers, or hybrids of these models. Each requires slightly different logic for tracking hours, recognizing revenue, and reporting financial performance.
Leadership teams soon begin asking deeper questions. They want to know how much margin a project generates, how many planned hours remain, or how utilization will evolve in the coming months. At that point the system stops being a simple planning interface and becomes part of the financial infrastructure of the company.
The Maintenance Problem
Even if a consulting firm successfully builds an internal platform that covers these needs, another issue appears.
Someone now has to maintain it.
Internal tools require continuous work, bugs appear, and you need to run security patches. Oh right, you also have confidential projects... As the company grows, new features must be added. All this introduces a hidden cost, and humans are notoriously bad at putting a price tag on these.
A consulting firm’s know-how usually is delivering client work, not maintaining internal software. When consultants focus on maintaining internal tooling, that attention is no longer available for developing new services, or building stronger relationships with clients.
The cost is not just engineering time. Suddenly the backlog of ideas grows and without you knowing it, you've allocated 1 FTE just to developing an internal tool; something you didn't do before. Now this is a non-revenue generating activity that'll hurt your bottom line. You start seeing internal discussions being about "building new features" for your internal platform instead of being client-focused. (Disclaimer: this is what the Operating team is here for. We have those discussions all the time.)
Why Specialization Exists
There is also a broader economic principle behind why companies rarely build everything themselves.
Specialization exists because it works.
You buy your coffee from Starbucks. You let a car shop change your car’s oil. Very few people build their own house. Not because these things are impossible to do yourself, but because they are not where your expertise or time creates the most value.
The same logic applies in business. Companies focus their internal effort on the work they can perform uniquely well. Everything else is typically purchased, partnered, or outsourced.
Consulting firms are particularly sensitive to this tradeoff because their main asset is the judgement and time of experienced professionals. Spending that attention on internal infrastructure rarely produces a meaningful competitive advantage. Delivery models are fairly standard. What firms need is infrastructure that quietly works in the background. You should know it’s there, and trust that it works.
Platforms See Patterns Individual Firms Cannot
Another important difference between internal tools and specialized platforms is perspective.
When a company builds software for itself, it naturally optimizes for its own workflows. The tool reflects the specific problems that company encounters. That works well locally. But a platform serving many consulting firms sees something entirely different.
Instead of one firm’s operational patterns, it sees hundreds of variations. Different staffing models, different billing structures, and different reporting needs. Over time, patterns begin to emerge. The best platforms start to optimize for a certain type of workflow and become the best at that.
This is why platforms tend to become opinionated about how certain operational problems should be solved. Those opinions are rarely arbitrary. They are the result of seeing the same challenge happen all over again across many organizations. The same dynamic appears in benchmarking. As a consulting, you only sees your own utilization rates and project margins. A platform working with many firms sees a much broader range of outcomes.
In that sense, an internal tool optimizes for a local maximum. It works well for one organization in its current form. A platform evolves based on patterns across an entire industry.
So Can You Vibe Code a Consulting Operations Platform?
The original question still stands. Can you vibe code a time tracking and resource planning system for a consulting firm?
Yes, you can, but that doesn't mean you necessarily should. Modern AI-assisted development tools make it surprisingly easy to build something functional. But the real question is not whether it is possible. The real question is whether it is the best use of your time, or if doing it yourself will create any competitive advantage as opposed to choosing a platform.
A system that runs a consulting firm needs to handle financial reporting, billing models, staffing workflows, security, permissions, and integrations with other systems. The number of edge cases grows quickly.
For most firms, the tradeoff eventually becomes clear. You can spend time maintaining internal infrastructure, or you can focus that time on delivering better work for your clients. I'm biased, I know. But I'm certainly not trying to vibe code our CRM, time tracking platform (which Operating is), or accounting software. Why on earth would I do that? We're selling a PSA platform. I want to spend my time on that—And writing these sorts of blog posts at night when my family sleeps.
Founder’s Thoughts: How Platforms Like Operating Stay Relevant
Thinking about this question from the other side is also interesting. If it is becoming easier to build internal software with AI, how does a platform like ours stay relevant in the future?
I think the answer is not by trying to trap users inside a monolithic product. The opposite is probably true. The role of a platform like Operating should increasingly be to act as the business logic layer of a consulting firm.
In practice, that means something quite simple. Teams should not have to worry about how things like revenue recognition, project profitability, or staffing allocations are calculated. Those things should simply work. The rules should be consistent, auditable, and reliable. Consulting firms do not want to spend time thinking about the mechanics of these systems. They want to trust that the numbers are correct.
At the same time, the interface to those systems will continue to change. Sometimes people will interact with them through a traditional application. Sometimes through BI tools. Increasingly it will happen through AI systems and agents. Someone might ask Claude for a profitability report, trigger a workflow through Siri, or run an analysis through a data warehouse that queries the platform directly.
In that world, the platform is less about the UI and more about the logic and data that sit underneath it. This is part of the reason we are investing in things like an MCP server and deeper integrations with AI systems. The goal is not to replace the tools people already use, but to make Operating available wherever people are already working. What matters is that the underlying logic of the business remains consistent.
If we do our job well, consulting firms should not have to think about how their operational infrastructure works. They should simply know that the system is reliable and that the numbers make sense. That allows them to focus on the thing that actually matters: delivering great work for their clients.
