Automation
Process mapping, workflow engineering and monitored execution across the tools you already run.
Nalvori designs, builds and runs the software, automation and AI systems that companies depend on every day — then operates them under measurable service commitments.
Engagements start with an operating diagnosis, not a technology pitch. Practices combine into a single accountable programme with one owner and one roadmap.
Process mapping, workflow engineering and monitored execution across the tools you already run.
Custom platforms, internal tools and integrations built to be maintained, not replaced in two years.
We run the systems after launch — monitoring, incident response and continuous improvement.
Applied models inside real workflows: classification, extraction, drafting and decision support with human review.
Pipeline architecture, lead routing and reporting that finance and sales can both trust.
Marketing sites and authenticated applications engineered for performance and accessibility.
Infrastructure, identity, security posture and vendor management under one accountable contract.
A two-week operating diagnosis maps your systems, bottlenecks and automation candidates before anything is built.
Every engagement follows the same four-stage arc, with named deliverables and a fixed review cadence. Clients see the same status we do.
Two weeks inside your operation. Systems inventory, process mapping and a ranked list of what to fix first.
Operating diagnosis + roadmapArchitecture, data model and interface design reviewed with your team before a line of production code.
Solution architecture + prototypesTwo-week increments, demoed live. Progress is visible in your portal at milestone granularity.
Shipped increments + test coverageMonitoring, SLAs and a quarterly improvement plan. Someone is accountable when a run fails at 2am.
SLA reporting + quarterly reviewEvery client works inside the same platform our delivery teams use. Project status, automation health, tickets, documents and invoices in one authenticated place — updated as work happens, not when a report is written.
Representative delivery patterns, shown without client names or unverified performance claims.
A representative workflow for qualification, validation and assignment inside one visible pipeline.
A representative authenticated workspace that brings referral handling and status into one operating view.
A representative two-way sync, deduplication and reporting workflow for distributed teams.
Five sectors where operating context matters — compliance constraints, integration realities and the workflows that actually cost money.
Matter intake, billing hygiene, compliance-safe automation.
Referral flows, records integration, auditable access.
Enrolment, student operations, reporting to funders.
Listing sync, lead routing, multi-office reporting.
Delivery operations, resourcing, client reporting at scale.
Three tests we apply before engineering a workflow — and why failing them prevents wasted investment.
Where to place the human in an AI workflow so quality holds at volume.
The artefacts we produce in two weeks, and how clients use them long after.
A focused intake takes about four minutes. You get a scoped recommendation and an indicative range within two business days.