For investment firms, compliance technology often operates as background infrastructure.
A surveillance platform monitors activity. An order management system enforces trading restrictions. A regulatory intelligence tool distributes updates. A policy platform houses procedures. An attestation system tracks employee certifications.
When those systems remain available and operational, firms can easily view them simply as tools that support the compliance program.
But that framing is increasingly incomplete.
For Chief Compliance Officers and Chief Operating Officers, a more important question is whether those systems actually form part of the firm’s control environment.
In many cases, they do.
System configuration determines what activity a firm identifies. Data quality determines what the system can evaluate. Integrations determine whether information reaches the right control at the right time. Permissions determine who can change, override, or disable critical logic. Ownership establishes responsibility for keeping the system aligned with the firm’s compliance requirements.
These decisions go beyond technology. They directly influence whether compliance controls operate as intended.
As firms rely more heavily on technology-enabled compliance, CCOs need visibility not only into what a control should do, but also into the technology that makes the control operational.
A firm can design a control perfectly on paper and still see it fail because of incorrect system configuration, incomplete data, or unclear ownership.
That is why firms should no longer treat compliance technology as background infrastructure. They should govern it as part of the control environment itself.
A Technology-Enabled Control Is Still a Control
Compliance professionals regularly think about control design.
What risk should the control address? Who performs it? How frequently does it operate? How does the firm test it? What evidence shows that it occurred?
Technology adds another layer to those questions.
Consider a system that identifies transactions exceeding a defined threshold. The policy is correct, the firm has documented the control, and the compliance team understands the requirement.
But someone configured the threshold incorrectly.
On paper, the control exists. In practice, it does not function as intended.
Now consider a correctly configured system that relies on an upstream data feed. If that feed provides incomplete, delayed, or incorrectly categorized data, the compliance system may produce a clean result without evaluating the full population.
Again, the control exists. But the outcome is unreliable.
Joy Langdon, Founder and CEO of TillieStar, sees this distinction as an area firms can easily overlook.
“A system can be running successfully and orders are entered and executed, but this doesn’t mean that the control is functioning properly.”
A Running System Doesn’t Guarantee a Working Control
For investment compliance teams in particular, a functioning system does not necessarily mean the rules, data, and processes supporting a control work as intended.
Firms need monitoring, sampling, testing, and regular auditing to confirm that their rules work every day.
That becomes even more important as firms automate more of the compliance process. Compliance cannot assume that a system supports the intended outcome simply because a technology team confirms that the system is operational.
Langdon has seen the consequences firsthand. During a third-party audit of an investment compliance team’s controls, the IT team reported that the system had no data gaps. When she independently reviewed the system, however, she discovered that someone had suppressed the messages identifying those gaps.
The technology was running. The team had lost visibility into the risk.
“Compliance cannot just take the word of someone that there aren’t issues,” Langdon says. “They need to become conversant on these technical tools themselves.”
For technology-enabled controls, the control environment therefore extends beyond the written procedure. It includes the system, configuration, data, integrations, access permissions, and governance processes that determine how the control actually operates.
System Configuration Is an Expression of Compliance Judgment
Configuration can sound like an implementation detail.
In practice, it often represents the firm’s compliance interpretation translated into system logic.
Which activity should create an alert? What threshold should apply? Which portfolios or accounts fall within scope? What securities should the system include? What data should trigger escalation? Who can override a result?
Someone has to answer those questions before the technology can execute the control.
Configuration therefore reflects a compliance decision, not merely a technical one.
The risk grows when the configuration stops reflecting that decision.
A regulatory requirement changes, but the system does not. The firm adds a new account to a strategy but leaves it outside the monitoring population. Someone modifies a parameter without the appropriate compliance review. A temporary workaround remains in place indefinitely. A legacy rule stays active even though no one can explain why it exists.
The technology may continue working exactly as configured. The configuration itself is the problem.
Rule Libraries Can Hide Risk
One recurring challenge Langdon sees is that firms understand the importance of auditing their compliance rules but struggle to complete the work consistently.
Day-to-day priorities such as limit monitoring, new account onboarding, list maintenance, or an SEC examination can pull resources away from rule reviews.
At the same time, firms may rely on rule libraries inherited from legacy systems or former team members. Current compliance teams may have limited confidence that those libraries remain complete and accurate.
New account onboarding can compound the problem. Teams may add rules quickly without fully considering the data needed to support them. Poor naming conventions or rule-library organization can make existing logic difficult to find. As a result, teams may create duplicate rules with plans to reconcile them later, but that cleanup may never happen.
The most difficult problems may be the ones compliance teams cannot immediately see.
Changes to an underlying data model, unclear data lineage, or technology projects completed without compliance involvement can affect how a rule operates without causing an obvious system failure.
That is why Langdon argues that rule testing needs to accompany rule auditing.
Alerts Can Reveal Bigger Problems
Compliance alerts themselves can provide an early warning.
A high volume of false positives caused by rule-coding issues may point to a broader configuration problem. Those visible errors can also indicate less visible problems, including what Langdon describes as silent failures.
“If you have a high percentage of false positives due to rule coding issues, then you have more issues than you know about,” she explains.
For CCOs, the governance distinction is critical: a technically healthy system can still create compliance risk.
Data Quality Is Part of Control Effectiveness
Compliance technology depends on data.
That sounds obvious, but firms can easily underestimate the governance implications.
A compliance system can evaluate only the information it receives. Without an account in the data set, the system cannot monitor it. An incorrectly categorized security may trigger the wrong rule. A silent data-feed failure may allow the system to continue producing reports that appear complete.
This creates one of the more difficult risks in technology-enabled compliance:
The output can look correct even when the underlying population is not.
For CCOs and COOs, that makes data quality part of control quality.
In Langdon’s experience, many apparent system problems ultimately trace back to data.
Some order management systems provide feedback when a rule runs but must skip certain holdings because required data is missing. Other systems allow firms to create dedicated data-check rules that identify missing information, such as security or issuer ratings.
Even with that functionality, teams may struggle with visibility.
High volumes of notifications can make meaningful issues difficult to identify. Firms may also lack a dedicated data steward or sufficiently resourced data team. In those cases, Investment Compliance may become one of the only functions aware of data gaps without having a clear owner responsible for resolving them.
Timing Matters, Too
Data quality is not the only concern. Timing can create another layer of risk.
Langdon recalls a situation in which a post-trade prohibition alert fired. The team then asked why the system had not produced a corresponding pre-trade alert when it executed the order.
The answer was data timing.
The system lacked the necessary information during the pre-trade process but received it before the post-trade check.
The post-trade control ultimately identified the issue, but it could not prevent the cost associated with the trade error.
That is why firms should not simply ask:
“Is the compliance system working?”
They should also ask:
“Is the compliance system receiving complete, accurate, and timely enough information to perform the control we believe it is performing?”
For Langdon, CCO visibility into those dependencies is critical.
“CCOs need to be aware of their data lineage and where the danger areas lie,” she says. “They also need to be strong advocates for their data needs and hold appropriate areas accountable for both quality and coverage.”
Compliance professionals do not need to become data engineers. But they do need enough visibility into critical data dependencies to understand whether their controls can operate reliably.
Integrations Are Part of the Control Chain
Few sophisticated compliance systems operate in isolation.
A compliance application may depend on information from an OMS, portfolio accounting platform, human resources system, CRM, market data provider, regulatory data service, enterprise data warehouse, surveillance tool, or another vendor platform.
The compliance control may appear to live in one application while relying on several other systems to function.
That means integrations are more than technical plumbing. They form part of the control chain:
Source data → integration → compliance platform → rule → alert → review
A breakdown anywhere in that sequence can affect the outcome.
Responsibility for the sequence, however, often sits across several teams.
Technology may own the integration. Operations may own the source data. Compliance may own the control. A vendor may own the application.
Each party can fulfill its individual responsibilities while an important gap remains between them.
Split Ownership Creates Invisible Risk
This division of responsibility creates one of the most persistent governance challenges surrounding compliance technology.
Langdon notes that compliance teams may assume IT has a deep understanding of their requirements simply because IT supports the system. In practice, technology teams may understand the application and infrastructure without fully understanding how a technical issue affects the compliance control inside it.
When a Technical Fix Creates a Compliance Question
Consider an overnight processing failure.
IT receives an alert and discovers that an unexpected character in a file caused the process to fail. The team repairs the issue and confirms that the batch completed. From a technology perspective, they have solved the problem.
But Compliance needs to ask a different question.
Start-of-day results may form the basis for pre-trade compliance. A failed or delayed overnight process could affect whether the system evaluates that morning’s orders against complete and accurate information.
“So just checking that an overnight process completed is not enough of a control,” Langdon explains.
Compliance needs to understand what failed and what risk the failure introduced.
Was an index feed delayed? Is the system using yesterday’s information? Is a required data set missing entirely? Did the system evaluate any orders before the team corrected the problem?
The same principle applies to Operations. A manual mis-key or skipped process may appear isolated within a middle- or back-office workflow while creating downstream effects on compliance rules.
System governance therefore cannot come down only to who “owns” the application.
The better question is:
Who owns the compliance outcome?
Compliance, Operations, and Technology each have distinct responsibilities. Strong governance helps those teams understand how their actions affect one another’s controls.
Permissions Are Part of Control Design
Who can modify the system? Who can change the rule? Who can override an alert? Who can disable a control? Who can approve their own changes?
These questions determine the integrity of the compliance control.
Even well-designed system logic can create risk when access governance is weak.
Strong permission governance should address who can create and modify rules, who approves those changes, and whether firms separate configuration and approval responsibilities.
It should also cover how the firm handles and logs overrides, reviews privileged users, and updates access when employees change roles or leave the organization.
CCOs should therefore consider permissions as part of the same governance discussion as control design and testing.
If someone can materially alter how a control operates, that person’s access forms part of the control environment.
Technology Change Needs Compliance Governance
Technology does not remain static.
Vendors release new functionality. Firms upgrade systems, change data models, rebuild integrations, consolidate platforms, and replace older technology.
Each change can create an unintended compliance impact.
That does not mean Compliance should review every technology release. Instead, firms need a way to distinguish routine technical changes from changes that could affect compliance outcomes.
A useful question is:
Could this change affect how we implement, monitor, or document a compliance requirement?
If yes, Compliance should have visibility.
Relevant changes might include critical rule logic, data sources, integrations, alert behavior, override capabilities, permission models, system migrations, automation, books and records, or the population subject to monitoring.
Adding that question to the technology change-management process can help firms identify compliance effects before those changes reach the control environment.
What Strong System Ownership Looks Like
Simply naming a system owner does not establish strong system governance.
Langdon sees several characteristics among firms that manage compliance technology well.
“They are highly educated on what their systems do well and what they don’t,” she says. “No system is perfect, and like manual processes, they have weak points.”
Strong firms understand those weak points and build additional processes around them.
Keep Critical Knowledge Inside the Firm
These firms retain internal knowledge about critical systems rather than allowing expertise to disappear when a consultant or project team leaves.
They maintain clear documentation that outlines roles and responsibilities across Compliance, Operations, and Technology. When teams upgrade systems or introduce new functionality, they use those responsibilities to guide testing and decision-making.
Strong firms also maintain tighter controls around technology changes. A defined group assesses criticality, involves the appropriate stakeholders, approves changes, and keeps testing documentation in a central location.
Internal Audit can play an important role as well. Giving auditors enough visibility into system and process changes allows them to ask more useful questions and provide stronger feedback.
Compliance Leadership Needs Technology Fluency
Strong compliance leadership also stays actively involved with the technology itself.
Langdon describes effective CCO deputies as more than managers. They understand the systems their teams rely on, participate in important system changes, and can speak knowledgeably about technology gaps and risks.
None of this requires a CCO to understand how the system’s code works.
Instead, the compliance organization needs enough technology knowledge to govern the compliance outcome.
One of the most practical places to begin is also one of the simplest.
“Ensure that there are documented roles and responsibilities between the teams,” Langdon recommends. “Providing clarity on whose job is what goes a long way to avoid squabbling and finger pointing when things go wrong.”
The Next Governance Challenge: More Technology, More AI, More Consolidation
The importance of these questions will grow as compliance teams depend more heavily on technology.
CCOs remain under pressure to do more with limited resources. Technology and automation can help firms expand their capabilities without relying only on additional headcount.
Langdon already sees compliance teams receiving technology budgets they did not previously have. Yet the tools capable of solving some of their problems do not always exist.
That gap is contributing to another trend: internal experimentation with AI.
AI Creates a Familiar Governance Challenge
IT departments may see AI as an opportunity to develop tools internally rather than purchase another external platform.
But Langdon cautions that these projects still face a familiar challenge: teams need to translate compliance requirements accurately into technology.
When IT does not fully understand the business requirement and the business cannot communicate that requirement technically, firms can spend significant time developing tools that fail to solve the underlying problem.
AI also creates broader questions about governance and regulatory expectations.
Compliance leaders need enough understanding of AI to participate meaningfully in discussions about how firms should govern it, where teams can use it appropriately, and what controls its use requires.
Platform Consolidation Requires Compliance Input
At the same time, firms continue to consolidate technology platforms as they look for ways to reduce costs across complex vendor environments.
That approach can make economic sense. But firms can create compliance risk when they select or eliminate tools without understanding the controls and dependencies those tools support.
“It’s imperative that compliance teams are included in these conversations,” Langdon says, “to ensure that decisions are not being made in a vacuum and that vendors and tools are being selected appropriately.”
The technology may change, but the underlying governance question remains:
Does the system operate the way Compliance believes it operates?
Treat Compliance Technology Like the Control Infrastructure It Has Become
Technology plays too important a role in modern compliance programs to remain background infrastructure.
Systems enforce rules, identify exceptions, and determine what information reaches compliance professionals. They also automate more processes that once depended on human review.
That creates tremendous efficiency.
It also makes technology governance inseparable from compliance governance.
CCOs and COOs do not need to turn compliance departments into technology departments.
They do need confidence that critical systems use the right configurations and reliable information. Firms also need appropriate access controls, clear ownership, and processes that keep technology aligned with changing compliance requirements.
Strong compliance organizations will not treat their systems as black boxes that IT, Operations, or vendors manage on their behalf.
Instead, they will understand which systems matter most, how those systems support critical controls, who owns the relevant decisions, what dependencies exist, and how teams govern changes.
Because a compliance control is only as reliable as the environment in which it operates.
Strengthen the Governance Behind Your Compliance Technology With TillieStar
Modern compliance programs depend on multiple technologies, but CCOs still need a connected view of the governance behind them.
TillieStar helps investment compliance teams create greater visibility across regulatory requirements, compliance rules, controls, systems, ownership, and change.
That connective layer helps firms understand not only which controls exist, but also which technology supports them, who owns them, and how they evolve over time.
For CCOs and COOs, that means greater confidence that the compliance environment documented on paper reflects the systems operating in practice.
Your compliance technology isn’t just supporting your control environment. It is part of it.
To learn how TillieStar can help strengthen technology governance across your compliance program, contact sales@tilliestar.com or (617) 865-3550.