Smpler maps your enterprise systems, data, and processes in weeks — so your AI strategy is built on certainty, not assumption.
Serving Private Credit · Private Equity · Real Estate · Infrastructure · Secondaries
AI adoption is accelerating across private markets. The firms that build their foundation first will be impossible to catch.
The data is unambiguous. Private markets firms that move now will compound their advantage. Those that wait will spend years playing catch-up.
There is a reason 95% of AI pilots fail. Most firms skip the step that makes everything else work. They implement before they understand what they are working with. Smpler exists to close that gap — before it costs you.
It is the invisible complexity beneath it that nobody has mapped yet. Hundreds of undocumented systems. Siloed data sources with no clear ownership. End-to-end processes that live only in the heads of your most senior people. This is what causes AI initiatives to fail — not the tools, not the strategy, not the talent. The foundation.
Without a credible AI strategy — and the foundation to prove it — you are losing fundraising conversations in real time. At the scale of private markets, that is not a rounding error. It is the difference between winning and losing the next decade.
You lack certainty around your own assumptions. Your teams are already at capacity. And if the AI program fails — it falls on you. You need to know what is actually happening inside your organization before you commit.
Without documentation, governance is just a policy with no teeth. AI without a foundation does not fail slowly. It fails completely — compounding errors at scale. You cannot trust AI until you trust what is underneath it.
The rare individual with both deep private markets domain knowledge and genuine AI capability commands $400K+ at mid-level and is nearly impossible to hire or retain. Your teams are already full. Something has to give.
Smpler provides complete, approved documentation of your enterprise systems, data, and processes — giving your leadership team everything they need to do what they do best: think bigger, move faster, and outmaneuver the competition.
The prerequisite no one talks about: You cannot successfully implement AI into an organization without first knowing exactly what that organization runs on. Every system. Every data source. Every process. Every owner. Before the strategy. Before the tools. Before the implementation. This is the step that determines whether everything else works — and it is the step almost every firm skips.
| Before Smpler | After Smpler |
|---|---|
| Building AI strategy on assumptions | Strategy built on approved, accurate documentation |
| Teams buried in legacy complexity | Teams freed to focus on strategy and execution |
| No single person knows all the systems | Complete, approved enterprise map owned by the firm |
| Uncertain, reactive, overwhelmed | Confident, proactive, in control |
| Vulnerable to invisible risk and shadow AI | Governance and visibility across all systems and data |
| Falling behind peers in AI adoption | First mover advantage with a defensible foundation |
Three sequential engagements. Each builds on the last. Together they give your firm everything it needs to implement AI with precision and confidence.
A complete, approved visual and documented map of every technology system in your organization — vendors, integrations, data flows, owners, and interdependencies. Most firms have 200–1,000+ systems. Almost no single person knows them all.
Granular documentation of all data sources within your mapped systems — data types, quality, ownership, governance gaps, and AI-readiness assessment. You cannot trust AI until you trust the data it runs on.
End-to-end documentation of your key organizational workflows — process owners, steps, data touchpoints, bottlenecks, and AI opportunity identification. This is the final prerequisite before AI implementation.
I know what it feels like to be on the wrong side of a technology wave.
"I started my career as an underwriter — and after automating large parts of my work to save time and improve accuracy, I watched the firm adopt a new system replacing 1,400 of us overnight."
That experience drove everything that came after: 15 years spent inside the most complex financial systems in the world, learning how to make technology work for people — not replace them.
I have mapped 230+ enterprise systems at Ares Management. I have implemented technology across every major private markets asset class. I have sat in the rooms where these decisions get made — and I have seen what happens when firms try to implement AI without the foundation.
Smpler exists because the work that needs to happen before AI implementation is the most important work — and it is the work nobody wants to do, nobody has time to do, and almost nobody knows how to do at the level these firms require.
No commitment. No disruption to your team. Just clarity on whether we are a fit and what your organization needs.
A 15-minute conversation. You tell us where you are in your AI journey and what your organization needs. We listen. No sales pitch.
We review your situation and send a personalized proposal — recommended engagement scope, timeline, and exactly what you will walk away with.
Your team keeps running the business. We do the documentation. You get the foundation. Your AI strategy gets the certainty it needs.
Confidentiality is foundational to everything we do. We operate under strict NDA from day one. We never share your firm's systems, data, processes, or proprietary information — with anyone, ever. We have worked inside the most competitive firms in private markets. We understand what is at stake.
Large consulting firms provide generic strategy without operational depth — their teams have rarely worked inside these organizations. Internal hires take exorbitant time to acquire, can only see their corner of the organization, and cost $400K+ at mid-level for someone with the right profile. Smpler brings insider expertise, on demand, immediately, at a fraction of the cost.
A typical Enterprise Systems Map engagement is delivered in weeks, not months. The timeline depends on the size and complexity of your organization. We work alongside your existing teams — not instead of them — so there is minimal disruption to your day-to-day operations.
You walk away with a complete, approved deliverable your team owns forever — systems architecture diagrams, full metadata, data dictionaries, process maps, or workflow documentation depending on the engagement. Not a slide deck. Not recommendations. Actual documentation your teams can use immediately.
Read the full Smpler Clarity Guarantee →
Based on 50+ interviews with private markets executives — where firms actually stand on AI readiness, what the leaders are doing differently, and what the laggards are missing.
"The fear in every boardroom meeting is — are we behind our peers in how we are leveraging AI? But none of us are technical enough to actually know the answer to that question."
"I need people to trust our data before we can trust AI to do stuff for us. The companies who invest in it and harness it are going to be the ones who succeed versus the ones betting on AI without fixing their data."
"Whoever is in charge and ultimately has to take accountability — I need to know what the hell is even happening. There are a hundred things happening all the time, constantly. It increases every day."
Quotes from executive interviews conducted as part of Smpler's Private Markets AI Readiness research. Identities kept confidential.
If you have concerns about how to successfully implement your enterprise AI strategy — or whether your organization has the foundation to execute it — speaking with us is the right next step. It takes 15 minutes. You will leave with clarity.
Not every firm will master AI. Smpler is built for the ones that will.