A Business Operating System is the place where the company runs day to day. Customers, people, contracts, documents, money, support, delivery, and company decisions live close enough that teams can understand what happened without rebuilding the story from five different tools.
EVERYSYNC brings 43 modules into one workspace. Each module has a job its professional owner will recognize, and Eva can draft, route, summarize, and follow up across the work only inside the permissions and approvals you set.
The problem is rarely one bad tool. It is the daily drag of moving between a CRM, HR system, contract folder, project board, help desk, finance sheet, chat thread, and reporting deck just to answer a normal business question. The bill matters, but the bigger cost is lost context.
Automations help, but they do not remove the need to reconcile status, ownership, and next steps. EVERYSYNC is built so related work stays connected: a deal, its contract, its support history, its billing context, and the people responsible for moving it forward.
A single-product chatbot can help with a narrow task, but most real business work crosses functions. A renewal involves sales, legal, support, billing, and customer history. A new hire touches people operations, equipment, calendars, documents, training, and team communication.
Eva works inside that reality. She can prepare a board pack, collect the right numbers, draft the read-ahead, suggest owners for follow-up, and wait for the right approval before anything important is sent or changed. Every action is tied back to the person, permission, and approval that allowed it.
Practically, this looks like fewer status meetings and fewer "can someone find this?" messages. Eva can surface the stalled deal with its contract and support context, or flag that a new starter is blocked because an asset is missing. The point is clearer work, not magic.
EVERYSYNC treats related work as related. A customer record can sit beside its deals, contracts, support issues, billing context, documents, and owners. An employee record can sit beside onboarding, leave, assets, performance, expenses, and team communication. Permissions still decide who can see or change each part.
The practical consequence is less translation work. When a deal closes, the contract, invoice, handover, support context, and renewal owner should not have to be rediscovered. They should already be part of the same operating picture.
EVERYSYNC pricing is organized around the modules, bundles, and user groups an organization actually needs. Some teams start with a focused area such as CRM, People, Finance, or Legal; others use a broader operating package. The pricing page or a signed quote is the source of truth for the exact package, limits, and commercial terms.
The useful comparison is not "one app versus one app." It is the cost of the current operating stack, the duplicate work around it, and the specialist tools you still want to keep. EVERYSYNC is designed to make that decision easier by grouping the work that naturally belongs together.
EVERYSYNC ships with SOC 2 Type II controls, GDPR-compliant data residency options, and a per-record audit trail that captures every read, write, approval, and AI action across every product. Because the audit log is a property of the shared data model rather than a per-product log, a single export covers a deal's entire lifecycle — quote, contract, signature, invoice, payment, renewal — without stitching logs together from five different vendors. For regulated buyers (financial services, healthcare, legal), this single audit surface is often the deciding factor.
Eva's actions inherit the same audit model. Every multi-step plan Eva proposes is recorded; every step Eva executes is attributed to the human who approved it; every field Eva writes is rollbackable from the audit log. The NIST AI Risk Management Framework (2024 update) recommends exactly this pattern — explicit approval gates, full attribution, and rollback — for any AI system with write access to operational systems. EVERYSYNC's Eva is built around that recommendation rather than retrofitted to it.
The most successful migrations follow a sequenced consolidation pattern rather than a big-bang cutover. Teams typically pick one painful module first — most often the CRM or the docs/wiki — and migrate that in 1–2 weeks using EVERYSYNC's CSV importers and field-mapping tools. Once the first module is live, the surrounding tools start consolidating naturally: contracts come over when the first contract needs to be linked to a deal; HR comes over when the first hire needs onboarding linked to a closed deal; finance comes over when the first quarter close needs revenue traced back to a contract. This sequenced pattern moves teams from "10–14 vendors" to "EVERYSYNC plus 1–3 best-of-breed retainers" in a typical 60–90 day window.
For larger organizations (200+ employees), EVERYSYNC's onboarding team runs the full migration in partnership with the customer, including data validation, historical archiving, custom-domain configuration, and SSO setup. There is no systems-integrator requirement; the platform is configurable end-to-end through the EVERYSYNC admin UI. Switching cost is real, and we don't pretend it isn't — but the recurring cost of staying fragmented is almost always larger over a 24-month horizon, which is why most consolidation projects pay back inside year one.
Side-by-side comparison pages for every major competitor:
A Business Operating System is where the everyday business runs: customers, people, contracts, documents, money, support, projects, company decisions, approvals, and memory. EVERYSYNC gives each function its own proper workspace while connecting them into one operating layer an AI operator can safely inhabit.
Automations can pass updates between tools, but people still have to reconcile what happened, who owns it, and which version is current. EVERYSYNC reduces that handoff work by giving related teams one shared operating layer instead of a chain of disconnected tools.
Eva can work across the parts of EVERYSYNC your role is allowed to use. She can sense what changed, reason across connected records, prepare summaries, draft next steps, find blockers, route approvals, execute approved work, and feed the company brain with the completed loop. The point is not another chatbot; it is an operator inside the system of record.
Microsoft 365 and Google Workspace are productivity suites — email, calendar, docs, sheets. EVERYSYNC is a Business OS — CRM, HR, contracts, finance, support, ops. We integrate cleanly with both (in fact, EVERYSYNC's HRSync provisions Google Workspace accounts on day one of onboarding) — but EVERYSYNC sits one layer up: it's where the *business* runs, not where the documents live.
Savings depend on which modules, bundles, and specialist tools an organization keeps. The practical starting point is duplicate software: separate tools for deals, documents, support, people, billing, and reporting often overlap. EVERYSYNC helps teams consolidate the work that should already be moving together.
For many growing teams, yes. The benefit is not a long list of features; it is that sales, finance, HR, legal, support, and delivery can feed the same operating memory, so agentic AI can reason across the real company instead of guessing across disconnected tools. Teams with highly specialized needs can still keep a specialist tool where it genuinely matters.
Solo founders or 2–3 person teams who only need one module. Enterprises that are deeply committed to a single best-of-breed tool (e.g. Salesforce + Workday + DocuSign) and have a systems-integration budget to keep them in sync. Highly regulated industries that require a specific certified vendor for a specific function.
43 modules. One bill. One AI brain.