Recursyv AI · Built for MSPs

Two worlds of AI. Only one can see your business.

Generic AI gives generic answers. Connect Claude, ChatGPT, Gemini or Copilot to your ITSM, CRM, documentation and RMM through Recursyv's managed service, and the same question returns live answers from your own data — with the ability to act on them.

AI without your data
Which of our clients are at risk of an SLA breach today?
The shift

From AI in a box to an intelligence layer above your stack

The first wave of AI adoption meant copying data out of your systems, pasting it into a chat window, and hoping the answer — and the data — went nowhere it shouldn't. The new model inverts this: the AI comes to your data, permissioned and audited, and your applications become one connected source of answers.

Old world — closed system

A brilliant analyst locked out of the building

  • Answers are generic — it has never seen a ticket, a contract or a device
  • Staff copy and paste client data into public tools, ungoverned
  • Every report still built by hand, every question waits for a person
  • Insight trapped inside each application's own walled-garden AI
New world — intelligence layer

The same analyst, with keys to every system

Topology: ITSM platforms connected through Recursyv AI to Claude, Gemini and ChatGPT
  • Ask in plain English, get live answers from your own systems
  • Take action — update tickets, log time, extend contracts — from the same conversation
  • One managed connection serves every AI platform you use
  • Questions that span applications finally have a single place to be asked
Example use cases

What your team asks on day one

Real questions, asked in plain language, answered from live data. No ITSM licence needed for the person asking, no report builder, no waiting. Select a system to see how it changes each role's day.

Service desk manager
"What is blocking SLA attainment today?"
3 tickets at risk. #18422 (P1, Brightway Financial) is 38 minutes from breach and unassigned since the shift change. Two P2s at Meridian Legal are waiting on parts with no client update in 48 hours.
Breach prevented before the dashboard would have shown it
Finance
"Show me all unbilled time entries this week."
£4,310 of unapproved time across 3 clients, plus a project at Kestrel Group with £2,900 of WIP outside the fixed-fee scope. One instruction pushes it all into the next billing run.
Revenue leakage caught before month end
Service desk — bulk action
"Reassign all of Tom's open tickets to the general queue and note that he's off sick."
14 tickets reassigned in one instruction, notes added, two P2s flagged to the duty senior — instead of an hour of clicking through each one.
An hour of admin becomes one sentence
Leadership
"Show me profitability across all active contracts. Schedule it every Monday at 9am."
A ranked contract margin view, built from live time and billing data — then delivered automatically every week without a report ever being built.
Board-level visibility with zero BI effort
Account manager
"Prep me for the 2pm with Meridian Legal — open opportunities, recent tickets, last meeting notes."
A one-page brief in 30 seconds: renewal in 74 days, an open security-review opportunity, rising ticket volume on their file server — a natural upsell conversation, fully armed.
Every client call prepped in under a minute
Sales leadership
"Which accounts have open opportunities but declining service satisfaction?"
The question spans CRM and service desk — previously two exports and a pivot table. Now: 2 at-risk deals identified, both tied to unresolved P2s the sales team didn't know existed.
Pipeline risk visible before the deal stalls
Commercial
"Which clients grew ticket volume 20%+ this quarter but are on legacy pricing?"
4 clients consuming well above their tier. Each one is a justified, evidence-backed pricing conversation — with the ticket data to prove it attached.
Price increases backed by data, not instinct
Marketing
"List clients who bought managed backup but not security awareness training."
A clean cross-sell list from live CRM data, segmented by size and sector, ready for a campaign — no export, no spreadsheet wrangling.
Campaign lists in seconds, not afternoons
Technician
"What's the documented escalation path for Acme's firewall, and who holds the credentials?"
The answer surfaces from your documentation platform instantly — with your permissions enforced — instead of ten minutes of searching or interrupting a senior engineer.
Tribal knowledge becomes askable knowledge
Service delivery
"Find every client still documented as running Server 2012."
6 clients flagged, each with the documented environment detail attached — a ready-made remediation and hardware refresh pipeline.
Documentation becomes a revenue source
New starter
"How do I set up VPN access for a new user at Harbourview?"
The documented runbook, summarised step by step. New engineers are productive in days because they can ask, rather than dig — or guess.
Onboarding time cut dramatically
Quality
"Which clients have no documented disaster recovery plan?"
A gap analysis across the entire documentation base in seconds — compliance risk and a DR sales opportunity, surfaced in the same answer.
Audit-readiness on demand
Technician
"Which devices at Harbourview failed patching last night?"
7 endpoints, all on the same subnet — pointing at a network cause rather than seven separate device problems. One fix instead of seven tickets.
Root cause spotted before the tickets arrive
Service delivery
"List clients with more than 10% of endpoints past end-of-life."
5 clients over threshold. Each becomes a hardware refresh proposal with the device-level evidence attached — and a risk conversation you're leading, not reacting to.
Estate risk converted into project revenue
vCIO
"Build the quarterly estate summary for Kestrel Group — device health, patch compliance, warranty expiries."
The QBR pack that took an afternoon of exports and screenshots, assembled from live RMM data in minutes — and consistent every quarter.
QBR prep from hours to minutes
Cross-system
"Do repeat tickets at Brightway correlate with device age?"
Service desk history joined with RMM asset data: 80% of repeat incidents trace to 11 machines over five years old. The refresh proposal writes itself.
The question no single tool could answer
Reporting & analysis

The report writes itself. On a schedule.

This is what most customers build first — because the ROI lands on day one. Describe the report once, set the cadence, and it arrives assembled from live data: typically weekly for management, monthly for every client.

Weekly · Internal management

The Monday morning pack, without the Monday morning

"Every Monday at 08:30, send the ops report: SLA attainment, aged tickets over 14 days, unbilled time, and technician utilisation — week on week."
The management pack that used to cost an administrator half a day of exports and copy-paste now builds itself from live data — consistent, on time, and nobody had to log in to run it.
  • SLA and backlog trends, week on week, in the same format every time
  • Unbilled time and WIP surfaced while it can still be invoiced
  • Utilisation and workload balance across the team
Half a day of admin per week, gone in week one
Monthly · Client-facing

Service reviews that never slip again

"On the first of each month, build the service review pack for every managed client: tickets opened and closed, SLA performance, trends, and recommendations."
Every client receives a consistent, professional review — whether or not their account manager had a spare afternoon. Clients see the value they're paying for, in writing, every month.
  • Uniform quality across every account, not just the loudest ones
  • Trends and recommendations that open upsell conversations
  • Renewal discussions backed by twelve months of visible evidence
Client reporting — the job that always slips — becomes automatic

Why it's built first: scheduled reporting is the fastest, most visible payback in the platform. The admin hours disappear in the first week, the client packs go out on the first of the month, and the numbers land in front of exactly the people who decide whether the service stays. Nail this on day one and the rest of the business case makes itself.

Ease of deployment

Live in minutes. Nothing to install.

No agents, no infrastructure, no code, no migration. Your team keeps the ITSM they know and the AI tools they already licence — Recursyv builds and manages the secure bridge between them.

Tell us your stack

Autotask, ConnectWise, HaloITSM, ServiceNow or Freshworks — plus the AI platform your team prefers. A short scoping call covers permissions and which capabilities to enable.

Day 1 — one call

We build the connection

Recursyv configures, secures and hosts the managed integration on our Azure platform. Your permissions model carries straight through; nothing touches your infrastructure.

Your team starts asking

Open Claude, ChatGPT, Gemini or Copilot and ask the first question. No training course required — if you can type a question, you can use it.

Value the same afternoon

Under the hood this runs on the open standard your AI platforms already speak (the Model Context Protocol) — but you never have to touch it, version it, or secure it yourself. That is the point of a managed service.

Supported platforms

Works with the stack you already run

No migration, no rip-and-replace. Recursyv AI connects the leading MSP service platforms to the AI assistants your team already uses.

ITSM / PSA platforms — live today
Autotask
ConnectWise
HaloITSM
ServiceNow
Freshworks
Freshdesk
Through the AI assistants your team already uses
ClaudeClaude
ChatGPTChatGPT
GeminiGemini

One managed relationship, an ever-wider field of view. If your platform isn't shown, ask: the connector roadmap is driven by customers.

Coming soon

In development

The next wave of connectors, already in build — spanning CRM, RMM, knowledge management, project delivery and finance, so the intelligence layer keeps reaching further across your stack.

CRM
HubSpot
Salesforce
Microsoft Dynamics 365
Zoho
RMM
NinjaOne
Datto RMM
N-able
Atera
Knowledge management
IT Glue
Confluence
SharePoint
Project delivery & finance
Jira
Kantata
Xero
The importance of a trusted provider

Connecting AI to live client data is a decision about controls

Giving an AI assistant the ability to read — and act on — your PSA is powerful precisely because it's consequential. The question isn't just "can it be connected?" but "who is accountable for how?" Recursyv has spent over a decade running integrations between the exact systems MSPs depend on. This is our discipline, productised.

Zero data at rest

A real-time bridge only. Queries are processed in the moment and discarded — your data is never stored on our platform.

Your permissions, enforced

Access mirrors your existing ITSM user permissions. People can only see and do what they're already allowed to see and do.

Audited, always

Every access request is logged and monitored. When AI takes an action, you can see exactly who asked for what, and when.

ISO-certified, Azure-hosted

Certified information security management, on multi-region, high-availability, fully managed infrastructure.

Encrypted in transit

Industry-standard TLS on every request. Users authenticate with your organisation's own credentials before any data moves.

Managed, not abandoned

APIs change. AI platforms change. We absorb that churn continuously so your connection simply keeps working.

Why it matters: anyone can wire an AI to an API in a weekend. Running that connection safely — permissioned, audited, maintained, and accountable to hundreds of MSPs globally — is a different job entirely. Choose the provider you'd trust with write access to your billing.

Financial benefits

Model the return for your MSP

Two numbers drive the return: time your team stops spending hunting for data and building reports, and revenue that stops leaking through unbilled work and missed renewals. Put your own figures in.

15–25%
technician productivity gain reported by AI-enabled MSPs
40–70%
faster ticket resolution with AI-assisted service desks
55%
of businesses expect their MSP to adopt AI in 2026
Currency
Assumptions behind the numbers

Time savings assume 60% of manual reporting/data-retrieval hours are reclaimed — conservative against the 15–25% whole-role productivity gains reported by AI-enabled MSPs — across 46 working weeks. Leakage recovery assumes 70% of identified unbilled work and missed renewals is actually recovered. Adjust the sliders to model your own case; this is an illustration, not a quotation.

Hours reclaimed per year—
Value of time reclaimed—
Revenue leakage recovered—
Estimated annual value—

One customer's words: "Just identifying our unbilled WIP paid for itself immediately." The leakage line alone typically covers the service — the reclaimed time is where the growth comes from.

The big picture — available today

From answering questions to running the business

Each connected application is useful on its own. The value compounds when your AI can see across them — because the questions that actually run an MSP have never lived in one system. This isn’t a roadmap slide: it’s what a connected MSP can ask right now.

The question no dashboard has ever answered
"Which clients have rising ticket volume, ageing hardware, and a renewal inside 90 days?"
Service desk trend from your ITSM. Estate risk from your RMM. Renewal dates from your CRM. Environment context from your documentation. Today that's a QBR finding you make once a quarter — if someone has time. Connected, it's a thirty-second question you can ask every Monday.

Day to day

Triage informed by asset history. Client calls prepped from CRM and service data together. Billing runs that reconcile time, contracts and projects without a spreadsheet in sight. The routine questions answer themselves; your people handle what's genuinely complex.

Strategic

"Give me a health check on the business" becomes a real instruction: margin by client, estate risk, pipeline quality, documentation gaps and renewal exposure in a single view — the analysis a data team would take a week to build, on demand.

In summary

Old world: a brilliant analyst locked out of the building. New world: the same analyst with keys to every system — deployed in days, governed by your permissions, run by a provider accountable for a decade of MSP integrations.

Your choice of AI, always

LLM-agnostic by design. As AI platforms leapfrog each other, one Recursyv connection serves them all — your data strategy doesn't get married to any single vendor's roadmap.

Get in touch

See it running on your own data

Trusted by hundreds of MSPs globally, and leaders in ITSM integration for over a decade. Tell us your stack and we'll show you what your team could be asking by this time next week. A demonstration takes half an hour — bring your hardest question.

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