The buy-side technology landscape is moving faster than at any point in recent memory. SimCorp One, already the investment management platform of choice for more than half of the world’s top 100 financial companies, has just taken a significant step forward with the launch of Agent Launchpad, a native agentic AI ecosystem. For asset managers currently running on SimCorp One, or evaluating a SimCorp implementation, understanding how agentic AI and API integration now fit together is no longer optional. It is central to the investment operations strategy.
The State of AI Adoption in Investment Management
SimCorp’s 2026 Global InvestOps Report surveyed 200 buy-side executives across asset managers, pension funds, and insurance companies worldwide. The headline finding is striking: 70 percent of investment managers now use AI to support their front office operations. Just twelve months earlier, that figure was closer to 10 percent.
But adoption alone does not equal results. Only 27 percent of those firms report achieving meaningful return on investment from their AI initiatives. The gap between the 70 percent using AI and the 27 percent benefiting from it points to a structural problem, and one that has a clear solution rooted in platform architecture and system integration.
For the first time in three years, investment firms are prioritising innovation over cost control as their primary driver of technology spend. Fifty-five percent of respondents cited competitive differentiation through innovation as their top motivation, surpassing operational efficiency and cost reduction. The industry has shifted from consolidation mode into growth mode, and buy-side technology decisions are reflecting that.
From Generative AI to Agentic AI: Why the Distinction Matters
Most investment firms that have deployed AI to date are working with generative or conversational tools: a portfolio manager asks a question and the system responds. These tools have genuine value, but they are prompt-dependent. Every step requires a human to initiate the next action.
Agentic AI is a category step above. An AI agent can receive a goal, rebalance a portfolio for ESG compliance, process a batch of corporate actions, flag settlement exceptions, and execute a sequence of workflow steps to complete it autonomously. It pulls data, runs calculations, checks constraints, generates outputs, and triggers downstream actions without waiting for a human prompt at each stage.
McKinsey estimates that agentic AI could affect 25 to 40 percent of an asset manager’s cost base, with investment operations and technology functions seeing efficiency gains exceeding 20 percent. The critical condition: those gains only materialise when agents can execute complete workflows end-to-end. If they hit a data wall between systems, if the investment management automation chain breaks because an agent cannot pass outputs from a portfolio management tool to an order management system, the efficiency disappears into manual intervention.
This is where SimCorp One’s architecture, and specifically its open API ecosystem, becomes a direct competitive advantage for the asset managers running on it.
SimCorp Agent Launchpad: What It Is and How It Works
On 22 April 2026, SimCorp unveiled Agent Launchpad at its annual Global Summit in Copenhagen, attended by 1,400 financial services leaders. It is a native agentic AI ecosystem built directly into SimCorp One, designed to allow investment managers to deploy, discover, and build AI agents that operate across front-to-back investment workflows.
The ecosystem has three layers. First, pre-built agents from SimCorp and vetted partner firms covering workflows including portfolio management, corporate actions processing, risk analysis, and operational support. Second, a multi-agent collaboration framework, built on SimCorp One’s unified data layer, allowing agents to hand off tasks to each other across functions within a shared governance structure. Third, the ability for client firms to build their own custom agents using data from SimCorp One alongside approved third-party sources.
The first ecosystem partner, Orbit, delivers an AI-powered research agent embedded directly into SimCorp One workflows, surfacing insights from company fundamentals, news, broker research, and regulatory information in real time.
Every agent interaction generates a full audit trail, recording which data informed each decision, which constraints applied, and which agents participated, ensuring that compliance requirements are met and human accountability is preserved throughout.
SimCorp CEO Peter Sanderson described Agent Launchpad as “the connective layer that allows AI agents, whether from SimCorp, a trusted partner, or built by the client, to collaborate across real investment workflows, safely, consistently, and at scale.” The emphasis on safety and scale matters: agentic AI in a regulated industry requires governance that conversational AI tools simply do not provide by default.
Concrete Workflow Applications on the SimCorp One Platform
Where does investment management automation via agentic AI actually show up in practice? The following workflows represent areas where properly integrated AI agents on SimCorp One are already demonstrating impact or are positioned to do so as Agent Launchpad rolls out to clients later this year.
Corporate actions processing. High-volume, rule-governed, and time-sensitive. An agent monitors incoming corporate action notifications, validates data against reference sources via API, processes entitlements, and flags exceptions requiring manual review, without requiring operational staff to process each event manually.
Portfolio rebalancing and compliance checking. An agent monitors portfolio drift against targets, runs pre-trade compliance checks using SimCorp One’s integrated compliance engine, generates rebalancing recommendations, and passes approved orders to the order management system, all within a single environment without data handoff to external systems.
Reconciliation workflows. One investment accounting supervisor in the Forrester TEI study commissioned by SimCorp noted that monthly reconciliation, which previously took until the 15th of the month, now completes by the 5th, covering all 24 funds across the full AUM. The direct result: portfolio managers working with live data instead of lagged figures, able to make more timely investment decisions.
Market research and investment intelligence. Through Orbit’s integration via Agent Launchpad, research insights drawn from company fundamentals, regulatory filings, news sources, and broker data are embedded directly into SimCorp One workflows, available to portfolio managers at the point of decision rather than in a separate research system.
Why SimCorp One API Integration Is the Enabling Layer
Agent Launchpad is impressive in its own right, but it does not operate in isolation from the broader technology stack. Investment managers run SimCorp One alongside a range of other systems, third-party data providers, execution management systems, custodian platforms, reporting tools, risk analytics engines. The question that matters for any firm evaluating SimCorp One integration is: how cleanly can these external systems connect to the platform, and can AI agents operate across that full connected environment?
SimCorp One is designed around an open API architecture. The platform’s data layer captures and distributes data from multiple sources, market feeds, reference databases, counterparty systems, and proprietary datasets, making information accessible through APIs, file transfers, or direct connections to analytics platforms. SimCorp has also introduced the SimCorp Integration Model (SIM), a structured framework that guides firms through entity-level API integration, with full technical documentation, reference specifications, and Swagger documentation for each connection point.
For agentic AI to function correctly across a firm’s technology stack, this integration layer is what makes it possible. An agent that can only access data within SimCorp One is useful. An agent that can also pull from external data providers, push outputs to execution systems, and trigger downstream processes through properly configured API integrations is transformational.
The 2026 InvestOps Report found that 63 percent of investment firms lack real-time data visibility across the investment lifecycle, and only 20 percent operate on a unified platform capable of delivering instant front-office decision support. For firms in that 80 percent, the bottleneck is not the AI model, it is the integration architecture underneath it.
The Platform Consolidation Advantage
A recurring theme in client feedback about SimCorp One implementation is the consolidation of previously fragmented technology. One European asset manager with USD 900 billion in AUM described replacing several customised and best-of-breed tools with a single integrated front-to-back platform. Colonial First State in Australia moved from a best-of-breed model to a one-system approach, removing more than ten legacy solutions in the process.
The Forrester TEI study for SimCorp One found that a composite organisation with USD 150 billion in AUM avoided up to USD 7.9 million in legacy tool licensing and maintenance costs, while business users across front, middle, and back office saved a combined 135,200 hours over three years. The overall three-year ROI was 134 percent.
Platform consolidation matters for agentic AI in a specific way: every system removed from the architecture is one fewer integration point that agents need to navigate. The simpler and more unified the technology stack, the more effectively AI agents can operate across it. Firms that have already consolidated onto SimCorp One are structurally better positioned for agentic AI deployment than those still managing five, ten, or fifteen separate point solutions.
What Vendor Selection Looks Like in 2026
The 2026 InvestOps Report asked buy-side firms what they look for when evaluating AI solutions for investment management. The top three criteria, in order: vendor stability (57 percent), access to innovation features (54 percent), and analytical flexibility (47 percent).
Vendor stability ranking first is significant. As proprietary investment data flows into AI models and agents, firms need confidence that the platform provider has the institutional depth, data governance frameworks, and regulatory expertise to handle that responsibility. For most buy-side institutions, the risk of working with an experimental fintech on core investment operations is not acceptable. SimCorp’s fifty-plus year track record, its position as a subsidiary of Deutsche Börse Group, and its 10 industry awards in 2025 alone, spanning the investment management platform, IBOR, front-office analytics, and data management categories, address that stability requirement directly.
At the same time, innovation access ranked second. Agent Launchpad, the Axioma analytics suite, the SimCorp Integration Model, and the open API ecosystem together demonstrate that platform stability and innovation velocity are not in tension. They are both requirements, and SimCorp One is positioning to meet both.
Final Thoughts
The opportunity that Agent Launchpad and SimCorp One’s open API ecosystem create is real, but realising it requires more than a platform licence. The firms that will capture the efficiency and competitive gains from agentic AI on SimCorp One are those with clean, well-structured integrations between SimCorp and the rest of their technology stack.
That is precisely where integration work becomes business-critical. Connecting SimCorp One to third-party data providers, execution systems, custodian platforms, risk engines, and reporting tools through properly built API integrations is not a commodity task. It requires understanding SimCorp’s data model, working with the SimCorp Integration Model (SIM) framework, and structuring connections that will support not just today’s workflows but tomorrow’s AI agent execution requirements.
Ascenteum specialises in exactly this. We deliver API integration and system connectivity services for investment management firms operating on SimCorp One and across the broader buy-side technology stack. If you are evaluating your integration architecture ahead of an AI or platform initiative, speak to our team. We offer an independent assessment of your current connectivity landscape and a clear view of what it will take to make your SimCorp environment ready for agentic AI at scale. Get in touch with us today!
