Solve360: Fusing AI with Your Business Operations

AI is rapidly becoming the primary interface for how work gets done. But most organizations are still experimenting on the surface: a chatbot here, a copilot there, disconnected from the systems that actually run the business. The result is familiar – impressive demos, limited real impact, and no clear path to better margins.

Solve360 takes a different approach. We fuse AI directly with the structured operational data you use every day to run your business. Instead of asking AI to guess from a pile of documents, we give it a live, governed, relational view of your customers, workflows, and performance – and turn that into a durable advantage.

The problem: powerful AI, little operational impact

Most companies face the same pattern:

AI is plugged into emails, documents, and chats, but not into the systems of record that actually drive revenue and cost.
Data is scattered across tools, each with its own model of customers, projects, and processes.
Automation is fragile: a collection of scripts, integrations, and manual workarounds that break whenever something changes.

This creates deep operational problems in the AI era:

AI can answer questions, but can’t reliably take actions or run workflows end-to-end.
Teams still spend time reconciling data across systems instead of acting on a single truth.
Leadership sees AI pilots, but not sustained improvements in unit economics.

The missing piece is not “more AI”. It’s a reliable business memory that AI can trust.

Our answer: a business memory layer for AI

Solve360 is a structured business memory layer that sits at the center of your operations and feeds AI with what it actually needs to work:

Structured, relational data– about customers, accounts, projects, tasks, and timelines.
Data fusion– across tools and workflows, so signals from different systems are combined into one coherent view.
Real-time state– so AI knows what is happening now, not just what happened last month.
Granular governance– so every AI action respects roles, permissions, and compliance.

Instead of teaching AI to “understand your business” from scratch, we connect it to the operational backbone you already use – and give it a single, authoritative memory.

Fusing AI with real-world operations

Think of Solve360 as the cognitive layer between your models and your day-to-day work:

AI chats and agents connect to Solve360, not directly to a tangle of disconnected tools.
When AI needs context – a customer’s history, the status of a project, which tasks are overdue – it retrieves it from a clean, consistent data graph.
When AI takes action – creating tasks, updating stages, triggering follow-ups – it does so through the same governed layer your team uses.

This fusion of AI with real-world operations changes what’s possible:

AI can follow through on decisions, not just suggest them.
Automations become resilient, because they’re grounded in a stable data model instead of brittle point-to-point scripts.
Your organization gains a single operational memory that survives changes in tools and models.

Implementation of RTLS in hospital settings currently provides the most accurate indication of the potential ROI impact in senior care communities. The following table provides a tidy summary of the most established benefits.

Business outcomes: higher margins, lower friction

Our focus is not on novelty – it’s on economics.

With Solve360 as the memory for your AI, organizations see:

Higher revenue per customer– because AI has full relationship context and can surface the right opportunities, renewal risks, and next best actions at the right time.
Lower cost to serve– because routine coordination and follow-up work is handled by agents that understand who is responsible for what, and what has already happened.
Reduced integration and maintenance spend– because the memory layer replaces a web of scripts, custom integrations, and one-off dashboards with a unified, durable model.
Faster decision-making– because leaders can ask operational questions in natural language and get answers grounded in real-time data, not delayed spreadsheets.

In practical terms, work that once required analysts, integrators, and manual reconciliation becomes a set of repeatable AI-driven workflows.

Designed for the AI era – not bound to one model

We expect your AI stack to change. What must not change is your business memory.

Solve360 is:

Model-agnostic– it works with leading commercial models and open-source alternatives, so you can evolve your AI strategy without re-building your data foundation.
Vendor-resilient– your structured business memory remains in Solve360, under your control, even as tools and providers come and go.
Operationally hardened– built on decades of experience running production-grade SaaS for organizations that cannot afford downtime or data loss.

Where others ship AI features bound tightly to one model or interface, we give you a neutral memory layer that can power whatever AI you choose next.

Why this matters now

The gap between early adopters and laggards in the AI era will not be defined by who uses AI – almost everyone will. It will be defined by who gives AI a real understanding of their operations.

Without a business memory layer:

AI remains a sidecar, not part of the engine of the business.
Automation stays fragile and local, not systemic.
Every new AI initiative repeats the same integration work.

With Solve360:

Your operations become AI-addressable – discoverable, understandable, and controllable by agents.
Each new AI use case builds on the same fused memory instead of starting from zero.
The incremental value of AI compounds over time instead of flattening after the first set of pilots.

The choice is not between using AI or not. It is between building on a stable memory layer or continually rebuilding on shifting sand.

What you can do with Solve360

Organizations use Solve360’s business memory layer to:

Let AI agents manage lead routing, follow-ups, and pipeline hygiene based on full account and activity context.
Coordinate field, service, or project work by automatically assigning, sequencing, and tracking tasks as conditions change.
Generate operational insights on demand – from “Where are we losing deals?” to “Which customers are at churn risk next quarter?” – grounded in unified, real-time data.
Replace complex rule-based workflows with conversational requests that still respect process logic, SLAs, and permissions.

Each of these use cases reduces latency between insight and action – and shifts human effort toward decisions that genuinely require judgment.

Ready to fuse AI with your operations

If you’re exploring how to make AI a core part of your operational stack – not just a feature in one tool – Solve360 is built for that moment.

You get a structured business memory your AI can trust.
Your teams get less friction and more leverage.
Your business gets a path to better margins, without sacrificing control.

Talk to us about how Solve360 can become the memory for your AI – and how a fused, operationally aware AI layer can move your business ahead while others are still running experiments.