ApexNova maps, orchestrates and automates the work that moves between your ERP, CRM, finance and service systems, bringing low-code workflow design, document intelligence, prebuilt connectors, software robots and live process monitoring into one governed platform.
A 45-minute working session on your own process. No slide deck.
Sample workflow
Runninginvoice-capture / three-way-match
Seven capabilities in one platform, sharing the same identity model, the same audit trail and the same deployment pipeline. The seams between them are where most automation projects stall, so we own all of them.
Model a process once on a versioned canvas, then run exactly what you drew.
Branching, parallel paths, timers, retries and human approval steps are drawn rather than coded. Every edit is versioned and reversible, so a workflow can be returned to yesterday's behaviour without waiting for a release window.
Turn invoices, forms and scanned PDFs into structured, validated data.
Classification, extraction and per-field confidence scoring on documents arriving by email, upload or SFTP. Low-confidence fields are routed to a reviewer instead of quietly guessed.
Prebuilt connectors, plus REST, GraphQL, SFTP and direct database access.
Authentication, pagination, rate limits and retry logic belong to the connector rather than to a script somebody has to maintain.
Reach the systems that were never given an interface to integrate with.
Screen-level robots drive terminals, desktop clients and supplier portals on a schedule or alongside a person, under the same logging and access control as every other step.
Keep the policy your process follows readable by the people who own it.
Thresholds, delegation matrices, segregation of duties and escalation clocks live in a rules table your operations lead can read and change, not buried inside a developer's conditional.
Watch cycle time, queue depth and bottlenecks while the process is running.
Every case carries a timestamped event log, so the process you designed can be compared against the one that actually happens and you can see precisely where work waits.
Single sign-on, step-level roles and an append-only record of every change.
SSO and directory provisioning, permissions granular enough to scope a single approval step, encryption in transit and at rest, and environment promotion that requires a named approver.
The sequence is not negotiable, because the failures we see in this industry almost always trace back to skipping the first phase. Discovery is bought and delivered on its own, so you can act on the result with us or without us.
We map the process before we automate any part of it
Our team sits with the people who run the work today and records every handoff, exception, workaround and system touchpoint. Automating a process nobody has written down is how automation projects quietly fail, so this comes first and it is never skipped.
You receive
Design, connect and test against real historical cases
The workflow is built on the ApexNova canvas, connectors are wired to your systems, and the rules are encoded where your team can read them. Before anything touches production it runs in a sandbox against copies of cases that have already happened, including the awkward ones.
You receive
Deploy behind a controlled rollout, then keep tuning
Production release starts with a slice of live volume and widens as the numbers hold. From day one the process reports on itself, so tuning is driven by queue data rather than by opinion, and rollback is a decision rather than a project.
You receive
Bring one process you already suspect is costing you time. We will tell you in the demo whether it is a good first candidate, including when the answer is no.
Request a DemoThese are constraints written into how ApexNova is architected and delivered. Ask us to demonstrate any of them against your own process during the demo.
A first process reaches production in weeks rather than quarters.
ApexNova runs on top of the systems you already own and pay for.
Judgement stays with people; repetition moves to the platform.
Segregation of duties and an append-only audit trail on every step.
Run it fully managed, inside your own tenant, or self-hosted.
Every process reports its own cycle time against a recorded baseline.
120+
Prebuilt connectors
Alongside REST, GraphQL, SFTP and direct database access.
6
Weeks to first process
Typical path from kickoff to a live, monitored workflow.
99.9%
Uptime target
Regional failover with public status and incident reporting.
24/7
Orchestration monitoring
Alerting on stalled cases, failed steps and breached deadlines.
Connector count and monitoring coverage describe the ApexNova platform. Time to first process and uptime are the targets we design and staff against, and we will walk through how each is measured during your demo.
Answered the way we answer them on a call, including the parts that are inconvenient for us.
Ask us directlyBusiness process automation is the practice of taking a repeatable, rules-driven process that currently depends on people moving data between systems, and having software run it end to end instead.
In practice that means four things working together: a workflow engine that knows the sequence and the rules, integrations that read and write to your existing systems, document handling for anything that arrives as a file, and monitoring that tells you how the process is performing while it runs. ApexNova provides all four, which is what separates it from a scripted point solution that automates one hop and leaves the rest alone.
No. ApexNova is deliberately an orchestration layer, not a system of record. Your ERP stays your ERP and your CRM stays your CRM.
The platform reads from and writes to those systems through connectors and APIs, and coordinates the steps between them. That is usually where the delay and the manual effort actually live, and it means a project can deliver value without a migration attached to it.
For a well-bounded first process, six weeks from kickoff to production is a realistic target: roughly two weeks of discovery and mapping, three weeks of build and sandbox testing, and one week of staged rollout.
What moves that date is rarely the build. It is access to systems, availability of the people who know the exceptions, and how many undocumented variants the process turns out to have. Discovery is designed to surface all three early, while the plan can still change.
It goes to a person, with context. An exception does not mean the workflow crashes or silently guesses.
Every process is built with an explicit exception path: the case is parked in a review queue with the reason, the data collected so far, and the step it stopped on. A reviewer resolves it and the case continues from where it stopped rather than restarting. Exception rates are reported, because a rising rate is usually the first sign that something upstream has changed.
It is not. That is exactly what the robot capability exists for.
Where a system offers no integration point, an unattended robot operates it the way a person would, through its own interface, on a schedule or on demand. It is slower and more brittle than an API, so we treat it as the deliberate second choice rather than the default, and we say so plainly in the design rather than presenting it as equivalent.
You choose the deployment model: fully managed by ApexNova in a region you nominate, deployed inside your own cloud tenant, or self-hosted in your data centre.
In all three, data is encrypted in transit and at rest, access is controlled by role down to the individual workflow step, credentials are held in a secrets vault rather than in workflow definitions, and every read, write and configuration change is written to an append-only audit log that administrators can export but not alter.
Not to operate it. The canvas, the rules tables and the exception queues are built for process owners and operations teams, and most day-to-day changes such as a threshold, an approver or a new routing branch are made without writing code.
Developers become useful at the edges: a bespoke connector, an unusual transformation, or embedding an ApexNova workflow inside one of your own applications. Those hooks are documented and open, and our delivery team covers them during the first engagement so your team is not dependent on us afterwards.
Pricing is based on the number of processes you run in production and the volume of cases flowing through them, with the delivery work for the first process quoted separately.
We quote after discovery rather than before it, because a list price attached to a process nobody has mapped yet is a guess. Ask for the pricing model during your demo and we will walk through it against your own volumes.
Forty-five minutes, the platform driven live against a process close to yours, and an honest read on whether it is a good first candidate. No slide deck and no obligation.
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