Do you feel like your team spends more time managing tools and doing manual tasks than doing meaningful work? That’s the reality of gray work. Gray work refers tothe hidden, manual, repetitive tasks employees do to fill the gaps between disconnected systems. A recent Harvard Business Review article explained this problem well: gray work shows up in the cracks between systems that don’t talk to each other and processes that haven’t caught up with today’s speed of business.
Expectations for organizations, and their teams, are higher than ever. We have access to tools and systems that our predecessors didn’t, and more are developed every day. Success in modern business requires an understanding of the tech, and how you can leverage it to help your business run more efficiently and effectively. It’s not about having tools that do everything, it’s about having the right tools that empower your team to do what’s critical to your business without getting stuck in tasks that could easily be outsourced to the right automation solution. That’s where custom application development comes in. ADNET’s team can help you find solutions to common tasks your team does, so they can focus on growing your business instead of administrivia.
The hidden cost of gray work
Gray work isn’t always visible on a balance sheet, but it directly impacts:
- Staff productivity
- Employee morale
- Client experience
- Error rates
- Compliance risk
- IT support burden
- Revenue
We’ve helped organizations uncover hundreds of hours a month tied up in inefficient workflows—just by automating simple tasks or connecting existing tools.
Prioritizing security
Automation and AI can remove manual effort but only if they’re implemented safely. For regulated organizations, the risk isn’t just errors it the things like data exposure, over permissioned access, and tools taking actions without the right controls.
That’s why we build in considerations and guardrails into every engagement, including:
- Data boundaries clearly define what AI can and cannot access
- Role-based access is given, so only the right people and systems can trigger actions
- Audit ready logging so decisions and changes can be reviewed
- Human approval checkpoints for sensitive/high-impact actions
- Security and compliance alignment, so AI supports governance
Why you need a proof of concept
A successful AI strategy isn’t as simple as “let’s try AI.” A small, well-defined project can quickly show where your gray work exists and what’s possible when it’s eliminated. It’s a budget-friendly option that helps pinpoint opportunities to make your organization more efficient.
Most organizations are hesitant to take on a complete digital transformation. We get that. A targeted proof of concept can help you and your team make smarter decisions about where your business can be more efficient.
Here are a few of our favorite questions to guide your discussion:
- What can our organization automate?
- What resources will it save (time, money, etc.), and how?
- What’s too complex or sensitive to change?
- Is there anything that the business can stop doing altogether?
- Are there any non-negotiables that we need, no matter what?
Most importantly, a proof of concept can show how quickly the effort would pay for itself.
An AI adoption plan should include clear outcomes and measurable success criteria. We recommend defining a few custom targets up front, such as:
- Hours saved per month (time recovered from manual tasks)
- Cycle time reduction (how much faster work moves end-to-end)
- Error/rework reduction (fewer mistakes and handoffs)
- Compliance control improvement (stronger audit trail, clearer approvals)
- Adoption/usage (is the workflow being used?)
The 3 types of gray work
To help clients make informed decisions, we evaluate gray work and group it into three simple categories:
1. Things that can’t change (yet!)
Some processes are complex, regulatory-bound, or reliant on human nuance. These stay as-is—but we design around them to minimize friction elsewhere. There may also be tools that are industry specific, that must stay. These line-of-business applications can often still be optimized, or be part of a larger strategic revamp, but they’re not typically the starting point.
2. Things that can be streamlined or automated
Manual handoffs, double entry, spreadsheet shuffling, email reminders—these are ripe for automation or integration. This is usually where the greatest ROI lives.
3. Things you can stop doing entirely
These are tasks that exist because your systems aren’t connected. When we bridge the gap, they disappear. You may also find some legacy items that were functional at one point but are redundant now that your business has matured. For instance, if you have someone taking notes during every meeting, but you have a unified communications system with an AI component in place, chances are you can use that instead. It just requires stepping back and looking at everything you’re doing, how it’s connected, and how it can become more efficient as you scale and grow.
Doing the math
Let’s say you identify 10 hours of manual work per week across your team. That’s 40 hours a month. Multiply that by your average loaded hourly rate. Investing in custom development or workflow automation creates real, measurable savings.
It can also improve employee morale, speed up customer response time, and strengthen your cybersecurity and compliance posture.
Here are some examples of where we’ve reduced friction, increased efficiency and seen value in our own AI adoption journey:
- Access requests
- Client onboarding
- Recurring service workflows
- Approvals, reminders, and status updates
- Reporting
- Ticket triage and routing
- KPIs and Metrics
There’s a lot of ROI to be found from leveraging AI strategically, but understanding where its true value is to your organization is imperative.
Let’s explore how AI powered development can transform your business
You don’t have to fix everything overnight. ADNET recommends starting small, with a clear outcome, a targeted scope, and a focus on value. Start with what your business truly needs and go from there. Seeing quick wins and ways you can eliminate inefficient processes is the best way to get started and get your team excited.
AI doesn’t always mean building something brand new. In many cases, the fastest wins come from improving what you already own like Microsoft 365, your CRM, ticketing platform, or industry-specific systems and then extending them with lightweight automation and integrations.
That’s why ADNET takes a right-fit approach:
- We start with exploring embedded AI in your existing tools. This enables quick wins with minimal disruption, getting your AI strategy off to a strong start.
- Next we connect systems and automate workflows to eliminate handoffs and double entry.
- Finally, ADNET uses custom development when there’s a true gap, unique requirement, or competitive advantage.
Start small, prove value, then expand. Whether you’re in healthcare, legal, nonprofit, financial services, or another industry, our development team is ready to help you identify your gray work and eliminate it.
Need help getting started? Let’s talk. Our team can model how AI powered custom development can help you increase efficiency, scale and grow, and achieve your business goals.