AI Receptionist & Lead Qualification
Capture and qualify intent before your sales team engages.
- Instant first response
- Qualification logic
- CRM-ready lead handoff
AI DEVELOPMENT & AUTOMATIONS
AI systems that remove bottlenecks and scale service delivery across worldwide
We design and deploy practical AI workflows that improve lead qualification, reduce response time, and increase operational throughput without adding team overhead. From inbound ops to internal execution, every automation is mapped to measurable business outcomes. Our team connects CRM, communication, support, and reporting layers into one reliable automation system with clear governance, ownership, and measurable checkpoints. This gives teams worldwide faster execution, better lead quality control, and a scalable operating model instead of disconnected one-off automations.
Built for measurable automation outcomes worldwide
Trusted by teams worldwide
Services
What we build
Internal Ops Automation
Remove repetitive admin tasks across CRM, sheets, and email.
- Auto-updates and routing
- Task triggers
- SLA reminders
Chatbots & Knowledge Assistants
Give teams instant answers from your internal docs and SOPs.
- RAG-based retrieval
- Role-aware responses
- Escalation workflows
Content & SEO Automation Pipelines
Ship high-quality content operations with less manual effort.
- Topic clustering
- Draft workflows
- Publishing orchestration
SEO Automation + OpenCrawl Workflows
Run technical SEO checks, crawl insights, and optimisation actions on a fixed cadence.
- OpenCrawl-based URL discovery and issue extraction
- Meta, heading, and internal-link opportunity detection
- Auto-priority queue for fixes and deployment tickets
Workflow Orchestration
Connect tools and triggers into one reliable automation layer.
- n8n / Make scenarios
- Error handling
- Audit-ready runs
AI Integrations & Custom APIs
Embed AI logic into your product and customer experience.
- API integrations
- Custom endpoints
- Usage analytics
Architecture
AI operating architecture for one connected system
200+
Projects
8+
Years
20+
Markets
Production-gradeBuilt to scale
01
Lead & funnel capture
Every enquiry lands in one pipeline instead of scattering across inboxes, forms, and chat threads. We capture website forms, live chat, and intent signals with the context attached, so nothing arrives as a bare name and email that someone has to chase down before it can be worked.
- Forms, chat, and inbound calls in one place
- Source and intent captured with every lead
- No enquiry lost to a missed inbox
02
CRM & data sync
Your CRM stays the single source of truth. We run a two way sync between the automation layer and your CRM and data warehouse, so records update in both directions and your team never works from a stale copy or re-keys the same detail twice.
- Two way sync, not one way pushes
- Records stay current on both sides
- No duplicate or manual data entry
03
AI qualification & decisioning
The scoring and routing happens before a human ever opens the record. Qualification logic reads the enquiry, scores it against the criteria your sales team actually uses, and routes it to the right owner, so the day starts with a queue sorted by intent rather than a pile to triage.
- Intent scoring against your real criteria
- Automatic routing to the right owner
- Team engages only sales ready leads
04
Workflow orchestration
This is the layer that connects everything. We build n8n and Make scenarios that link your tools, fire on the right triggers, and handle the unhappy paths with fallbacks, so a single failed API call does not quietly stall the whole chain.
- Tools connected through one orchestration layer
- Trigger based, running without supervision
- Fallbacks for when a step fails
05
Governance & observability
Automation you cannot see is automation you cannot trust. Every run is logged, failures retry or escalate instead of dying silently, sensitive steps sit behind approvals, and role based controls decide who can trigger what. You always know what ran, what it decided, and why.
- Full run logs with retries and escalation
- Approvals on the steps that matter
- Role based control over who triggers what
06
Reporting & revenue visibility
The point of all of it is revenue, so the reporting ties back to it. Dashboards connect automation activity to pipeline and closed revenue, which means you can see what the system is actually contributing rather than counting tasks it completed.
- Automation activity tied to pipeline
- Revenue attribution, not task counts
- Clear view of what the system contributes
Process
How we execute AI programs
A clear, senior-led process from the first strategy call to launch, so every build ships on time and turns into measurable outcomes.
Step 01
Discovery & Use-case mapping
Clarify business goals, bottlenecks, and highest-impact automation opportunities.
Step 02
Data & Systems audit
Review current stack, data quality, and integration feasibility.
Step 03
Prototype (2-5 days)
Validate workflow behavior and outcome assumptions quickly.
Step 04
Build + Integrate
Production implementation with testing, governance, and rollout.
Step 05
Monitor + Improve
Track performance, tune prompts/logic, and improve over time.
Automation Engine
Built to ship, not to experiment
Every AI program is structured around business impact, fast validation, and measurable checkpoints so automation improves real outcomes instead of adding complexity. We prioritise clearer intent flow, faster decision-making, and measurable improvement across high-value pages.
Every experience is engineered on a modern, proven technology stack, so your product stays fast, secure, and easy to scale. From front-end frameworks to databases and DevOps, we pick the right tool for each layer and keep the codebase clean and maintainable.
Business-first use cases
Fast validation before build
Native stack integration
Clean, maintainable code
Mobile-first & responsive
SEO-ready architecture
Secure and scalable by design
AI outcomes from real delivery
Outcomes backed by shipping quality and measurable growth
View project →
AI Chatbot Implementation
AI chatbot automation improved support speed and lead qualification quality
We deployed a multi-intent chatbot with escalation routing, qualification logic, and CRM sync so teams could reduce repetitive query handling and focus on sales-ready conversations.
Response speed +61%Qualified leads +38%Support load -34%
View project →
AI SEO Operations
AI SEO workflow improved rankings velocity and technical issue resolution
We set up AI-assisted keyword clustering, internal-link recommendations, and technical SEO prioritisation to move from manual audits to continuous optimisation cycles.
Top-10 terms +47%Fix turnaround -42%Organic leads +33%
View project →
AI Blog Generator
AI blog generation pipeline increased publishing output without quality drop
We built a blog generation workflow with topic planning, brand-safe drafting, editorial approval checkpoints, and SEO enrichment for faster content delivery.
Posts/month +220%Publish cycle -58%Content-assisted traffic +41%
View project →
AI Website Generator
AI website generation accelerated landing launch and conversion testing
We implemented AI-assisted page generation with reusable templates, conversion blocks, and QA checks so campaigns launched faster with consistent brand quality.
Launch speed +64%Landing page output 4xConversion uplift +26%
View project →
AI Receptionist
AI receptionist and lead qualification handled enquiries around the clock
We built an always-on AI receptionist that greets every enquiry, asks the qualifying questions your team would ask, and routes the result to the right owner with full context. Out-of-hours enquiries stop going cold, and the sales team starts each day with a queue that is already sorted by intent instead of a pile of raw messages.
Coverage 24/7 enquiry captureQualification Intent scoring and routingHandoff CRM sync with full context
View project →
Internal Ops Automation
Internal ops automation removed the repetitive admin layer
We mapped the recurring internal work (reporting, task routing, data entry between tools) and replaced it with orchestrated workflows that run on their own. Each step includes monitoring and fail-safe logic, so the team gets the time back without trading away control or visibility over what happened.
Scope Reporting and task routingIntegration Native to your existing stackReliability Monitoring and fail-safes
Why Solvinex
Performance is non-negotiable
Every AI engagement is built for business impact, de-risked delivery, natural adoption, and reliability as usage scales.
Business-first use-case selection
Clear ROI focus
Business-first use-case selection
Clear ROI focus
Fast validation before full build
De-risked delivery
Fast validation before full build
De-risked delivery
Integration with your existing stack
Natural adoption
Integration with your existing stack
Natural adoption
Governance and observability
Reliable at scale
Governance and observability
Reliable at scale
Flexible AI packages for global growth teams
Starter Package
- AI use-case discovery and priority roadmap
- One high-impact workflow build and deployment
- Core integration with CRM or communication stack
- Prompt logic setup with fallback handling
- Basic monitoring and alert configuration
- Governance checklist and ownership mapping
- Team onboarding walkthrough
- Launch support and handover documentation
Most Popular
Professional Package
- Multi-workflow automation architecture
- CRM + communication + tasking integrations
- Lead qualification logic and scoring layer
- Execution dashboard with KPI visibility
- QA framework, retry logic, and safeguards
- Cross-team governance and approval checkpoints
- Performance tuning with monthly optimisation sprint
- Structured documentation with rollout support
E-Commerce Package
- Enterprise-wide AI operating model design
- Advanced orchestration across multi-system stack
- Custom API layer and product-level AI embedding
- Role-based controls, audit trails, and governance
- Compliance-sensitive workflow architecture
- Executive reporting with strategic KPI framework
- Continuous optimisation and reliability partnership
- Dedicated solution support and quarterly roadmap planning
Testimonials
Client feedback on AI delivery
The qualification workflow removed repetitive triage and gave our team cleaner handoffs. We now spend more time on high-intent conversations and less time sorting noise.
OH
Operations Head
Property Advisory Team
Result: Faster lead response cycle
Automation across internal reporting and task routing reduced weekly manual effort significantly. The rollout was practical, stable, and easy for our team to adopt.
DM
Delivery Manager
Professional Services Firm
Result: Lower repetitive admin load
The assistant and escalation logic improved response coverage without hurting quality. Customers got faster answers and our team focused on complex issues.
CL
CX Lead
Commerce Support Team
Result: Better support efficiency
The AI receptionist picks up enquiries that used to sit unanswered until the next morning. Every lead arrives already qualified and routed, so the first conversation starts from context instead of scratch.
SM
Sales Manager
Multi-Location Services Group
Result: No enquiry left waiting overnight
What sold us was the phased approach. A small prototype proved the value in days, so the wider rollout was an easy decision rather than a leap of faith on a big build.
OD
Operations Director
B2B Distribution Business
Result: De-risked rollout, faster buy-in
The content pipeline lifted our publishing volume without the quality drop we expected. Review checkpoints stayed in our hands, so nothing goes out that we have not signed off.
ML
Marketing Lead
SaaS Growth Team
Result: Higher output, quality retained
AI automation FAQs
Data privacy is handled through a controlled implementation model. We map what data is actually required, limit unnecessary exposure, enforce least-privilege access, and define environment boundaries for testing and production. We also document governance rules for prompts, logs, and escalation so your team has operational clarity while scaling usage.
