Your Agents Are Succeeding at the Wrong Objective
Here’s a scenario I’ve been sitting with.
I set up an agent to manage my week. It has access to my calendar, my to-do list, my email. It gets to work: consolidating meetings that overlap in topic, protecting blocks of focus time, building agendas for the meetings it keeps by pulling context from recent emails and open tasks so I walk in prepared.
Every output looks right.
Then it cancels a meeting. No open task connected to it, nothing tying it to this week’s deliverables. From the agent’s perspective, it was noise. Except that meeting was tied to a long-term professional development goal the agent was never given. It was working with incomplete context.
It wasn’t wrong.
The result was a perfectly optimized week pointed in the wrong direction.
This isn’t an edge case.
This is the default failure mode for every agent deployment that treats context as “data plus tools” and stops there.
Organizations are building agents with task context and starving them of purpose context: the business goals, strategic direction, and long-term intent that humans absorb through organizational rituals no one thinks of as architecture. The gap isn’t model quality or tool access. It’s the purpose layer that makes individual productivity gains compound into organizational outcomes, and right now, that layer is a manual, human-run process happening entirely outside of all your agent systems.
Looks Like Someone Has a Need of the Mondays
The Monday morning status meeting. Everyone shows up, half-engaged, coffee in hand. You talk about what you’re working on, what’s blocked, what needs to happen this week. It’s the meeting everyone would skip if they could.
But think about what’s actually happening in that room. Every person is hearing how their work connects to everyone else’s. The implied message underneath the status updates: here’s what matters this week, here’s how it ties to the quarter, here’s what the organization is driving toward this fiscal year. That’s cascading alignment happening in real time, individual work getting connected to organizational direction. The all-hands works the same way at a higher altitude, a leader connecting the work of dozens or hundreds of people to a shared direction.
What looks like status reporting is actually an orchestration protocol.
Right now, an individual saves five or fifteen minutes an hour on tasks because that work is indirectly aligned to organizational value through those Monday meetings and all-hands. The agent handles the task. The human is still doing the alignment by hand. In software implementations, we had a name for this: manual integration, relying on a human to move data between systems because it was thoughtfully determined not to build the connection. We’re making the same architectural choice with agent alignment, just without recognizing it as a choice.
The alignment between individual agent work and organizational goals is happening outside the agent entirely, and no one is treating that as an architecture problem.
How do you give multiple agents awareness of the business outcome you’re driving toward? How do you make them work together rather than just in parallel? This isn’t a vendor problem. It’s a design gap. And closing it requires something most organizations haven’t built yet.
From Boardroom to Agent: Conveying What Matters
One approach I’ve been thinking through is what I’d call a Strategic Context Layer. A shared set of definitions that tells every system and agent what your business terms actually mean, what you’re prioritizing, where the source data lives, and what trade-offs the organization is making between competing objectives.
In any organization, objectives compete. Growth and profitability pull in different directions. Customer acquisition and customer retention demand different resource allocation. You can’t maximize everything simultaneously. The trade-offs leaders make to pursue larger business outcomes are exactly the context agents need to make decisions that actually align with where the organization is heading.
This is where humans have always had an edge. Humans are naturally non-deterministic, which is precisely what makes them exceptional at navigating ambiguity, reading organizational context, and making the judgment calls that alignment work demands. Socratic systems like AI allow organizations to tap into that same capability at scale, but only if you structure the systems to receive the strategic context that humans have always carried informally.
The agent needs the same strategic briefing you’d give a new executive on their first day:
- What the organization is trying to become
- What it’s prioritizing right now
- What it’s willing to trade off to get there
- How it defines its key terms across business units
- Where the authoritative data lives
- The unwritten decision logic that experienced leaders carry but have never formalized
Strategic Context Layer = (Centralize meaning + Authoritative data) × Connect agents
Agents don’t add to the value of centralized meaning. They multiply it.
That list should make senior leaders uncomfortable. What we’re describing is the codification of judgment that has historically lived in the heads of experienced leaders and nowhere else. The strategic instinct, the unspoken trade-offs that shaped decisions for years. Writing it down means it’s no longer invisible. People can see where growth was prioritized over retention, where profitability was chosen over headcount, where speed won over thoroughness.
That visibility carries real risk. Codified decision logic can be audited for bias, challenged in disputes, and pointed to when people question why profits were prioritized over people. A documented Strategic Context Layer also becomes valuable intellectual property and a potential attack vector if mishandled. But organizations already manage this kind of exposure every day. A CEO’s full strategic picture isn’t shared with every team lead. The Strategic Context Layer doesn’t need to be a single document. It mirrors the organization itself: a layer for each team, each department, and the enterprise as a whole, with access governed the same way strategic information is governed today.
What’s more interesting is where this leads. Organizations that build these layers first won’t just have better-aligned agents. They’ll have, for the first time, a living map of how their organization actually makes decisions. Not how the org chart says it should, but how it actually does. That’s a strategic asset that goes well beyond agent alignment.
Toward a Purpose, Not Just a Task
An agent that saves someone 15 minutes on email triage is useful. An agent that does the same thing while knowing this quarter’s priority is client retention and this person’s growth goal is account management will triage differently, surfacing different emails, drafting different responses, flagging different meetings. The task is identical, but the outcome is categorically different because the agent is optimizing toward a purpose, not just completing a task.
I used to ask this question when onboarding new consultants: can you connect what you do on a daily basis to the end goal of this organization?
Think about something as simple as working the line at a restaurant. A line cook flipping burgers. That’s the task. But a line cook who understands that their speed and consistency directly shape the customer’s experience, that the organization’s promise is fast, hot, ready meals, makes different decisions. They manage their station differently. They prioritize differently when three orders come in at once.
Here’s where it gets interesting. A line cook at a fast food restaurant and a line cook at a Michelin restaurant share the same title and many of the same skills. But their strategic context is completely different. One optimizes for speed, consistency, and volume. The other optimizes for precision, creativity, and experience. Put either cook in the other’s kitchen without telling them the objectives, and they’ll execute their craft well while undermining everything the restaurant is trying to be. That’s what happens every time you deploy an agent without your organization’s Strategic Context Layer.
Most C-suite leaders know this intuitively because they lived it. They didn’t start with strategic context. They acquired it over years, through exposure, through mentorship, through being in enough rooms to absorb how the organization actually makes decisions.
The journey from “I manage my tasks” to “I understand how my work connects to what this organization is trying to become” is the journey from individual contributor to executive.
Agents have the aptitude to make that same leap. Large language models can reason about strategy. But they can’t reason about your organization’s strategy if no one has given them your organization’s strategic context. That’s the difference the Strategic Context Layer makes.
That scheduling agent wasn’t broken. It was never given the Strategic Context Layer that would have connected a single meeting to a growth objective that doesn’t appear in any task list. One agent, one missed meeting, one week off course. Now multiply that across every agent an enterprise deploys.
As AI collapses the cost of building, more builders deploy more agents. Every agent deployed without strategic context adds to a growing alignment debt. Unlike technical debt, which engineering teams can identify and prioritize, alignment debt is invisible until the investments stop compounding.
Until the Strategic Context Layer is encoded, not assumed, not left to the Monday meeting, not handled manually outside the system, most organizations won’t notice the debt until it’s already shaped every decision their agents have made.
What Leaders Should Do Now
- Audit your agents for strategic context, not just task context. Take your three most-used agent deployments and ask: does this agent know the business goal it’s serving, or only the task it’s completing? If the answer is “only the task,” you’ve found your gap.
- Stop treating alignment meetings as overhead to automate away. Your Monday status meetings and all-hands are performing a function your agent architecture cannot yet replicate. Before you optimize them away, make sure you’ve encoded what they produce into a layer your agents can access.
- Start building your Strategic Context Layer now, even if it’s imperfect. Begin with a shared definition of your top 10 business objectives: what they mean, how they’re measured, where the source data lives, and what trade-offs the organization is making between them. Make that accessible to your agent systems. An imperfect layer that exists beats a perfect one that doesn’t.
Seth T. Bacon is a Director of Innovation at RSM US LLP. The views expressed in this blog are personal views, and not those of RSM.