Every Solnix product, explained in full.

Abstract

Solnix Enterprise is a set of 17 industry suites. Each suite gives every department its own dashboard and its own chain of AI agents. Agents do the routine steps on the systems you already run, stop at a checkpoint for the decisions your people own, and record every step. This paper explains the run pattern, the controls, the full catalogue of 137 department workflows, and how the approach compares with platform vendors and large integrators.

Abstract

AI Feeder is the distribution network planner Solnix built for power utilities. It maps the medium-voltage feeder network, forecasts load growth for every distribution transformer and feeder, analyses sectionalizing, load switching and hosting capacity, and ranks capital works into a phased plan that fits the budget, with a written justification for each item. Its load flow is cross-validated against EPRI OpenDSS to within 0.0016 per unit.

Abstract

Drone ops is the aerial part of every Solnix Enterprise suite. Each feed detects every object in view, keeps the same ID on each one as it moves, and raises an alert only when something breaks a rule you set. Alerts go into the same agent queue and approvals flow as the rest of the suite, so a red box becomes a drafted work order that the right person approves.

Abstract

AI CAD turns a short written brief into parametric geometry, dimensions and a drawing sheet, then has agents check the design against codes, clashes and loads before an engineer signs off. Every Solnix Enterprise suite has a design for its industry, from an engine mount bracket to a 40 m lattice tower. AI CAD shortens the path to a reviewable first draft; it never releases a design on its own.

Abstract

AeroPulse is an operations control dashboard Solnix designed for an aerospace group that runs three businesses: aerostructures, aircraft maintenance (MRO) and aviation asset leasing. It puts what operations leadership needs every morning on one screen, on top of the maintenance and ERP systems the group already runs. Figures in the demo are illustrative.

Abstract

The Model Context Protocol is an open standard, introduced by Anthropic in November 2024, for connecting AI apps to tools and data. One MCP server works across ChatGPT, Claude, Gemini, GitHub Copilot, Cursor and other compatible apps. Solnix designs, builds, secures and hosts MCP servers with company sign-in, role-scoped tools, approval on writes and an audit log.

Abstract

Buyers increasingly research suppliers by asking AI assistants, then arrive on a website expecting an answer rather than a form. This paper covers the three Solnix growth services: an agentic website whose built-in agent answers, qualifies and books calls; AI search visibility, which finds and fixes how assistants describe your brand; and AI chat ads, which set up and manage ads inside assistants that offer them. Solnix runs the same approach on solnixmedia.com with Solnix Chat.

Abstract

A hospital runs as a set of tightly coupled queues. An emergency department patient who needs admission waits for a bed; the bed waits for a discharge, a clean and a transport; the discharge waits for a physician order, a pharmacy reconciliation and sometimes a payer authorisation for the next level of care. Delay in any one queue shows up as ED boarding, cancelled elective cases and staff overtime somewhere else. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Healthcare & Hospitals suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms health teams already use.

Abstract

A bank's operations are a chain of regulated decisions: whether to lend, whether an alert is suspicious, whether a transaction is fraud, whether a complaint is resolved fairly. Each decision rests on documents and data spread across the core banking platform, loan origination system, case managers and credit bureaus, and each must be explainable to examiners afterwards. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Banking & Financial Services suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms banking teams already use.

Abstract

An insurer earns its margin in underwriting and loses it in claims leakage, expense and slow service. Underwriters triage broker submissions that arrive as emails, PDFs and spreadsheets; claims handlers gather photos, estimates and coverage facts; actuaries rebuild triangles from data that arrives late; compliance files rates and forms state by state. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Insurance suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms insurance teams already use.

Abstract

Retail runs on many small decisions made daily across thousands of SKUs and stores: what to reorder, what to mark down, what to show which customer, how to answer where an order is. Margins are thin, so each decision needs to be right often, not occasionally. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Retail & E-commerce suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms retail teams already use.

Abstract

A plant's performance depends on how well schedule, quality, maintenance and supply stay in step. A resin shortage changes the schedule; a drifting process changes quality; a bearing about to fail changes both. Each function has its own system (ERP, MES, CMMS, QMS, PLM) and the coordination between them is often meetings and spreadsheets. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Manufacturing suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms mfg teams already use.

Abstract

Logistics margins depend on utilisation and exceptions. A route plan is only as good as its response to traffic, driver hours and a new two-hour medical delivery; a warehouse wave only works if labour and trailers line up; an invoice audit only saves money if every accessorial charge is checked against contract. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Logistics & Supply Chain suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms logistics teams already use.

Abstract

Real estate and construction connect two very different operations. Construction turns drawings into buildings through bids, RFIs, submittals, site safety and monthly pay applications. Property operations keep buildings leased, maintained and efficient once they stand. Both run on documents: drawings, specifications, contracts, leases and invoices. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Real Estate & Construction suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms aec teams already use.

Abstract

Universities and colleges handle large seasonal peaks of applications, aid verification, transfer evaluations and help desk tickets, with small teams and strict rules on student data. The same student appears in the admissions CRM, the student information system, the learning management system and financial aid systems. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Education suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms edu teams already use.

Abstract

Telecom operators run networks with many layers (radio, transport, core) and customer operations at very large scale. Incidents ripple from a fibre cut to thousands of customers; order fallout leaves customers without service; billing disputes and churn follow both. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Telecommunications suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms telecom teams already use.

Abstract

Electric distribution utilities plan and operate networks under regulators who set rates and reliability expectations. Load growth from electrification, rooftop solar and EV charging is changing where capacity is needed, while storms and asset ageing drive outages. This paper sets out the regulation and systems that shape the work, then walks through each of the 9 departments in the Solnix Energy & Utilities suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms energy teams already use.

Abstract

Hotels sell a perishable product: a room-night unsold tonight is lost. Revenue managers set rates by date, segment and channel; front office and housekeeping turn rooms; food and beverage controls cost and waste; group sales weighs events against transient demand. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Hospitality & Travel suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms hospitality teams already use.

Abstract

Law firms and legal departments sell expertise by the hour or by the matter, yet a large share of time goes into reading, comparing and assembling: contract review, document review in discovery, conflict checks, precedent research, billing guidelines. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Legal & Professional Services suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms legal teams already use.

Abstract

Public agencies serve everyone, under statutory deadlines, procurement rules and open-records laws, often with legacy systems and constrained budgets. Residents expect the responsiveness of consumer services, while every decision must be fair, explainable and on the record. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Government & Public Sector suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms gov teams already use.

Abstract

Pharma and life sciences companies operate under GxP rules from discovery to distribution. Clinical trials need eligible patients and active sites; pharmacovigilance must process adverse events on regulatory clocks; regulatory affairs assembles submissions; manufacturing releases batches only after review; cold chain keeps product within temperature. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Pharma & Life Sciences suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms pharma teams already use.

Abstract

Aerospace and defense operate under airworthiness authorities, quality standards and export controls. MRO shops race aircraft-on-ground events; aerostructures lines run to takt with strict build quality; programmes track contract milestones; lessors manage aircraft returns with complete records. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Aerospace & Defense suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms aerospace teams already use.

Abstract

Capital markets firms run trading, risk, operations and compliance under intense regulatory scrutiny. Surveillance must catch market abuse; risk must stay inside limits intraday; trade breaks must be fixed before settlement; regulatory reports must be complete and timely. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Capital Markets suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms markets teams already use.

Abstract

Automakers and suppliers run lines to takt, chase defects before they ship, manage supplier quality and connected-vehicle software across fleets, and meet homologation requirements in each market. This paper sets out the regulation and systems that shape the work, then walks through each of the 8 departments in the Solnix Automotive suite: what makes the work hard, what each agent does, who decides, what the dashboard tracks and how to pilot it. It closes with Drone ops, AI CAD, approvals, deployment and a comparison with the platforms automotive teams already use.

Abstract

Many enterprises approach AI by starting with a technology and working backwards to a problem. This paper presents a framework for identifying, prioritising and sizing AI opportunities before technical decisions are made, so the result is a roadmap boards can fund in stages and operations teams can execute.

Abstract

Specialised agents that delegate and verify each other's work can handle workflows a single prompt cannot. They also add new failure modes. This paper covers when multiple agents are worth it, the orchestration patterns that survive production, and the governance that keeps autonomous systems accountable, drawing on how the Solnix Enterprise suites are built.

Abstract

Retrieval-augmented generation is the dominant pattern for AI that must reason over a company's own knowledge. Most failures come from retrieval, not the language model: the wrong passages come back, the system answers when it should refuse, or latency makes it unusable. This paper covers the architecture decisions that separate production RAG from a proof of concept.

Abstract

Public benchmarks such as MMLU, HumanEval and GSM8K measure general capability on academic tasks. The questions that matter in production are different: how the model behaves on your domain's edge cases, how often it is wrong on your documents, and what latency and cost look like at your volumes. This paper presents an evaluation method built for deployment decisions.

Abstract

Regulation is converging on the same expectations: documented controls, testing, explainability and human oversight. The EU AI Act's obligations phase in from 2025 onwards, and frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001 give organisations a structure to follow. This paper sets out the control infrastructure to build once, proactively, so every new use case inherits it.

Abstract

Rule-based automation handles the steps that are perfectly structured and never change. Judgement calls, exceptions and unstructured documents still fall to people, and that is where most operational cost sits. AI-first process design assumes AI handles most steps and designs the human hand-off for the exceptions that genuinely need judgement.