This proposal sets out how Neural AI Ltd will act as Quazar's embedded Fractional AI-First CTO — scoping workflows, building intelligent automation, standardising your team on M365 Copilot, and delivering a strategic roadmap that keeps AI ROI at the centre of every decision.
Quazar has already started exploring AI — Fyxer for email intelligence, Lyft for Xero automation, various SaaS form tools, and Monday.com workflows under consideration. The instinct is right. The challenge is that these tools are being adopted individually, by different people, without a shared standard, a governance framework, or a strategic roadmap tying them together.
The result is what every fast-moving professional services firm eventually faces: a fragmented tech stack that creates more coordination overhead than it saves, data scattered across platforms that don't speak to each other, and a team that's enthusiastic about AI but unsure what to adopt next or why.
Neural AI proposes to step in as Quazar's Fractional AI-First CTO. We will scope your workflows, identify where AI creates the most leverage, build and deploy automation agents, consolidate your tooling under Microsoft 365 Copilot, train your team, and meet with you consistently to measure what's working and build on it. The result is a firm that moves faster, operates more securely, and can demonstrate a clear return on every AI investment made.
Neural AI Ltd is Malta's specialist AI engineering and consultancy firm. We build intelligent automation, AI agents, and data-driven systems — entirely focused on delivering working solutions in production, not proof-of-concept decks.
We are a team of 15 AI engineers, automation specialists, data scientists, and strategic consultants — all focused on one thing: building AI that creates a measurable impact on how businesses operate. Our capabilities span the full AI stack: generative AI and large language model integration, intelligent process automation, computer vision, business intelligence, and enterprise AI integration.
Our core delivery platform is Microsoft 365 — specifically Copilot, Copilot Studio, Power Automate, and Azure AI. This means every system we build sits within the same secure, governed environment your team already uses, with no new platforms to manage or data leaving your Microsoft tenant.
Neural AI is proud to form part of the BORN Group of companies — a collective of specialist technology businesses covering the full stack from managed cloud infrastructure to digital engineering and AI. For Quazar, this means you have access to the wider group's expertise whenever the programme calls for it.
Quazar is not starting from zero — the appetite for AI is there and tools are already being used. But the pattern we see is one that affects every fast-growth professional services firm: adoption without architecture. Here's the specific friction we're here to solve.
Different team members are using Fyxer, Lyft (Xero automation), various online SaaS forms, and now exploring Monday.com — but each tool operates in isolation. There's no single source of truth, no agreed workflow, and no consistency in how AI is being used across the firm. What should be a competitive advantage is instead a coordination overhead.
The firm's AI usage is driven by individuals exploring tools on their own, rather than by a coherent strategy. This means the firm as a whole isn't benefiting from AI in the way it could — productivity gains are siloed, best practices aren't shared, and new joiners have no AI playbook to follow.
Using several third-party AI SaaS tools means client data — sensitive financial records, corporate documents, personal information — is passing through multiple external platforms, each with its own data handling policies. In a regulated professional services environment, this creates real compliance and reputational exposure that needs to be addressed before it becomes a liability.
Without a roadmap, every new AI tool is a reactive decision made in isolation. There's no prioritisation framework, no ROI tracking, and no way to know whether the next investment is the right one. The firm risks spending on tools that duplicate each other, miss higher-value opportunities, or don't compound over time into a genuine competitive advantage.
Most organisations already paying for Microsoft 365 are dramatically under-utilising Copilot — the AI layer built directly into the tools the team already uses. Rather than adding more SaaS subscriptions, the biggest immediate productivity win is typically activating and deploying what's already licensed, standardising workflows, and ensuring every team member knows how to use it effectively.
Without measurement, it's impossible to know which automations are saving the most time, which tools are being adopted, or where the next highest-value opportunity lies. ROI tracking, usage reporting, and outcome measurement need to be built into the programme from the start — not treated as an afterthought.
Acting as your embedded AI leadership, we work across five pillars to take Quazar from fragmented AI experimentation to a standardised, governed, ROI-driven programme that compounds in value over time.
Everything inside this engagement is owned, sequenced, and delivered by Neural AI. One accountable partner from kickoff to ongoing optimisation.
We start by understanding how Quazar actually operates before recommending any technology. This means structured sessions with leadership and each practice area to map current workflows, identify manual bottlenecks, and surface where AI creates genuine leverage.
Based on discovery findings, we deliver a prioritised AI roadmap that sequences automation initiatives by business impact and implementation complexity. This is a living document — reviewed and updated at every monthly check-in.
We design and build intelligent automation agents tailored to Quazar's specific workflows, using Microsoft Power Automate and Copilot Studio as the primary delivery platform — keeping everything within your existing M365 environment. Initial agents in scope include:
The best automation in the world fails if the team doesn't use it. We build adoption into every deployment — not as an afterthought, but as a core deliverable alongside the technology.
AI programmes that don't have a review cadence stop compounding. Our monthly check-ins keep the programme on track, surface new opportunities, and ensure the roadmap stays aligned with where Quazar is headed.
The journey is structured to deliver quick wins early while building the foundations for long-term compounding value. Discovery and strategy happen first, followed by deployment, training, and a continuous optimisation cycle.
| Phase | What happens | Timeline |
|---|---|---|
| Phase 1 Discovery & Audit |
Workflow mapping sessions across all practice areas, AI readiness audit, current tooling inventory, opportunity scoring, stakeholder interviews. Output: detailed findings report. | Weeks 1–3 |
| Phase 2 Strategy & Roadmap |
AI roadmap creation, tool consolidation plan, M365 Copilot deployment plan, governance framework, KPI framework. Presented and approved with leadership. | Weeks 3–5 |
| Phase 3 Build & Deploy |
Copilot configuration and rollout, first automation agents built and deployed in production. UAT with team, iterative refinement. First cohort training delivered in parallel with go-live. | Weeks 4 onwards (ongoing) |
| Phase 4 Train & Embed |
Role-specific Copilot workshops, AI usage playbook delivery, manager coaching. Run in cohorts aligned to each new agent deployment. | Aligned to each deployment |
| Ongoing Review & Optimise |
Monthly check-ins, usage analytics, feedback loops, new agent scoping, quarterly strategic reviews and roadmap refresh. This is the maintenance phase — sustained value, not one-and-done delivery. | Monthly — indefinitely |
Professional services firms carry sensitive client data — financial records, personal identification, corporate filings. AI that doesn't take data governance seriously is a liability. We build security and compliance into every automation we deliver, not as an afterthought, but as a first principle.
By standardising on Microsoft 365, Quazar's data stays within a GDPR-compliant, enterprise-grade environment. No client data needs to pass through unvetted third-party AI tools. Microsoft's EU Data Boundary commitments apply.
We deliver a tailored AI Acceptable Use Policy for Quazar — defining which AI tools are approved, how client data may be processed, what must never be entered into AI systems, and how staff should handle AI-generated outputs.
We implement a data classification taxonomy aligned to Quazar's sensitivity levels — public, internal, confidential, restricted. AI workflows are configured to respect these classifications and prevent sensitive data from flowing to inappropriate destinations.
Before any new AI tool is added to the approved stack, we assess it against a standard security checklist: data retention policies, GDPR compliance, sub-processor agreements, and SOC 2 or equivalent certification. New SaaS tools don't get approved by default — they get assessed.
Every automated action maintains an audit log: what the AI did, when, on whose instruction, and what human approved the output. This is essential for regulated professional services and supports both internal oversight and external regulatory enquiries.
We track time saved per automation, adoption rates per team member, and cost-per-task before and after AI implementation. Every quarterly review includes an ROI report that quantifies the return on the engagement — so the value of the programme is never a guess.
All packages are structured in two phases: an active Implementation Period where we are building and deploying at pace, followed by a lower-intensity Support & Maintenance phase once the initial agent library is in production. All figures EUR ex VAT.
During the Implementation Period, we are actively scoping, building, and deploying automation agents alongside delivering strategy, training, and governance frameworks. Once the core agent library is live and the team is operating confidently, the engagement transitions to a lighter Maintenance & Optimisation phase — monthly check-ins, agent tuning, and scoping the next wave of improvements. The transition timing is agreed jointly based on programme progress.
30 days from the date of issue. Pricing and availability are subject to confirmation after this period.
3 months minimum on any tier. The discovery and strategy phases alone require this to deliver meaningful output before build begins.
Monthly in advance, based on the agreed monthly hour allocation. Invoiced on the 1st of each month. Hours are use-it-or-lose-it within the billing month.
The move from Implementation to Maintenance rate is agreed jointly in writing, based on programme milestones. Neither party can unilaterally declare the implementation phase complete.
Scope changes and additional work requests are scoped, quoted, and agreed before any work commences. No surprises on the invoice.
Quazar owns all data, trained models, automation configurations, and generated artefacts. Neural AI holds no IP claim on work built for and within Quazar's systems.
Both parties operate under mutual NDA. All client data, business information, and programme details are treated as strictly confidential.
Standard availability Mon–Fri 08:00–17:00 Malta time. Urgent out-of-hours support available at 1.5× rate; weekends and public holidays at 2×.
One engagement, one accountable partner, one point of contact. Reach out directly once you've had a chance to read through — we're happy to answer any questions before you commit to anything.
Neural AI is part of the BORN Group of companies, alongside Born Digital and Veracloud. Together, the group covers the full technology stack from managed cloud infrastructure to digital engineering and AI — giving Quazar access to a complete technology partnership under a single trusted relationship.
This proposal is confidential and prepared solely for Quazar. It should not be reproduced or shared with third parties without the written consent of Neural AI Ltd.
