We start with your problem, not the technology.
Strategy, Empathy, Technology and Curiosity applied to every AI engagement.
Before any AI touches your business, we map the outcome.
What does success look like? Where are the bottlenecks? How do we ensure control. Every AI investment anchored to a real business result.
Technology is nothing without the people using it.
We put your customers and team at the centre of every AI solution we design. AI that people trust and use every day.
Agentforce, Claude, ElevenLabs, MCP
We work across the AI ecosystem and deploy on the platform that's right for your business. Not locked to one vendor. Not chasing hype.
"That’s just how we do it" isn't in our vocabulary.
We dig until we find the root cause not just automate the symptom. The best AI solutions come from asking why about everything.
Whether you need your first AI agent or a full enterprise AI strategy, we bring the same rigour to every engagement.
We build AI that runs in production not proofs of concept that sit in a slide deck. Voice agents, document processors, and delivery assistants running today.
We eliminate the busywork by automating intelligently. AI that routes, classifies, drafts, and enriches so your team focuses on the work that actually needs human judgment.
Our AI consulting stands independently of any platform. Salesforce is one strong option — but we build on whatever stack is right for your business and your data.
No surprises. We model operational costs before you commit. You’ll know what it costs to run in production per conversation, per document, per workflow before you sign.
We design for adoption not just deployment. The best AI solution is the one people trust and reach for every day. We build with that standard in mind from day one.
Salesforce Global Partner Innovation Award winners. The same rigour we bring to enterprise implementations applies to every AI project we touch.
Customer-facing voice agents for inbound qualification and appointment booking. Internal team assistants for meeting summaries, document drafting, and data lookups. Sales development agents for lead scoring and meeting prep. Service agents for case triage and escalation routing.
Branded voice personas that sound like your brand. Multi-language voice agents. Real-time call transcription and action extraction.
Voice-to-CRM speak your meeting notes, get structured records. Conversational voice that replaces “press 1 for sales.”
Invoice and receipt processing with OCR and AI extraction. RFP and tender analysis, auto-extract requirements, flag risks, draft responses.
Bill scanning and pre-qualification for solar quotes. Photo-based asset condition assessment for construction and field service.
Design and deploy MCP servers that connect AI to your business systems. Integrate Salesforce, Jira, Confluence, Google Workspace, Slack, and custom APIs.
Build AI agents that read, write, and act across your entire tool ecosystem.
Intelligent document routing and classification. Approval chain automation with AI-generated summaries. Data enrichment pipelines that fill gaps in your records.
Context-aware email drafting. Natural language to dashboard reporting.
Workshop transcripts become user stories. Stories become test scripts.
Nothing is written after the fact documentation is a byproduct of delivery, not an afterthought. A team of three delivering the output of eight.
AI maturity assessment where are you today, what’s realistic tomorrow.
Use case identification and prioritisation workshops. Data readiness audit. Build vs. buy analysis Agentforce vs. custom agents vs. third-party.
AI governance and ethics framework. Cost modelling what will this actually cost to run in production?
The AI landscape moves fast. If you don’t see what you’re looking for, get in touch we’ll tell you what’s possible.
Connects voice calls directly to your CRM. Call data, recordings, and transcripts
Native AI agents for sales, service & field, grounded in CRM data
Deep practitioner prompt engineering, tool use, MCP, production deployment.
When no platform fits. React, Node, Python, edge functions, serverless
Data unification layer that makes AI agents smarter connects siloed systems
Custom voice agents, branded personas, real-time conversational AI
Native AI agents for sales, service & field grounded in CRM data
Lifecycle management for high-volume field operations, installations, and deployments
Connecting AI to Jira, Confluence, Google Workspace, Slack, Miro, and custom APIs
A dedicated WhatsApp group for every customer worked when they were small. At scale, it became a bottleneck: untracked, inconsistent, and impossible to triage. They needed to multiply their capacity without multiplying their headcount.
We deployed Agentforce AI agents that pre-qualify leads from electricity bill scans, auto-generate quotes, and handle enquiries around the clock grounded in RenewCo’s CRM, assets, and pricing data.
“Working with Arcturious, we now have a platform that provides us with limitless potential to scale and effectively service a growing number of customers.”
Matthew Summerville — Founder & CEO, RenewCo Solar
We build rich context before any AI touches your business. Workshop transcripts, process maps, data models, decision logs — all fed into a living knowledge base that the AI draws from at every stage.
Every stage produces documentation as a byproduct. Workshop notes become user stories. Stories become test scripts. Nothing written after the fact. The traceability chain is unbroken.
Fix a requirement and downstream stories, acceptance criteria, and tests update automatically. AI drafts, humans review. AI flags, humans decide. Corrections propagate through the entire chain.
No. Our AI consulting is platform-independent. Salesforce is one option and a strong one but we can build on any stack.
Yes. We have production voice agents, document processors, and delivery assistants running today.
We design for trust. Einstein Trust Layer for Salesforce, data residency controls, and a strong stance on data sovereignty.
First AI agent live in 4–8 weeks. Strategy engagement in 2–4 weeks.
We model operational costs before you commit. No surprises. Typical voice agent: $0.50–$2.00 per conversation.
Yes. We integrate with what you have and fill gaps.
Don’t experiment with AI in isolation.
Let’s build a production AI system that works for your business, your team, and your customers from day one.