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.
Workflow Automation
Standby
Webhook Event
New Email
Update CRM
Send Slack Alert
Tasks Automated14,204
Hours Saved842.5
System Online
Trusted by teams worldwide
What we build
Automation systems for lead flow, operations, and delivery speed
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
Lead Generation Automation Engine
Capture, enrich, score, and route leads automatically across channels.
- Intent capture forms and enrichment logic
- Qualification scoring with CRM stage mapping
- Auto-notifications for high-intent opportunities
AI QA, Monitoring & Reliability Layer
Keep workflows stable with observability, fallback logic, and quality controls.
- Run logs, error alerts, and retry policies
- Prompt/version governance with approval checkpoints
- Performance dashboards for ongoing optimisation
How we execute AI programs
Implementation process for stable and measurable automation
1
Discovery & Use-case mapping
Clarify business goals, bottlenecks, and highest-impact automation opportunities.
2
Data & Systems audit
Review current stack, data quality, and integration feasibility.
3
Prototype (2-5 days)
Validate workflow behavior and outcome assumptions quickly.
4
Build + Integrate
Production implementation with testing, governance, and rollout.
5
Monitor + Improve
Track performance, tune prompts/logic, and improve over time.
AI Capability Map
System architecture that aligns inputs, decisioning, and execution
A practical architecture showing how lead capture, CRM sync, qualification, and reporting connect through one AI operating layer.
- Inputs are validated and routed through one decision layer, not scattered automations.
- Every action is tied to workflow ownership, observability, and measurable business KPIs.
- System design supports scale across global teams without operational fragmentation.
AI outcomes from real delivery
AI outcomes backed by execution quality and measurable automation impact
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 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%
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%
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%
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...”
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...”
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 i...”
CX Lead
Commerce Support Team
Result: Better support efficiency
Why Solvinex
Why teams choose us for AI implementation that actually ships
We align AI strategy, workflow execution, and governance so your team ships confidently with measurable outcomes instead of fragmented automation experiments.
Business-first use-case selection
We prioritise AI initiatives by business impact, implementation feasibility, and operational ownership so leadership sees clear ROI instead of experimental clutter.
Fast validation before full build
Every program starts with rapid validation cycles and measurable checkpoints. This de-risks implementation and ensures full build investment is justified.
Integration with your existing stack
We connect AI workflows to your live CRM, communication, support, and analytics stack so adoption feels operationally natural across teams.
Governance and observability
Automations include monitoring, fail-safe logic, role-based controls, and documented ownership so reliability stays high as usage scales.
Flexible AI packages for global growth teams
Starter
From USD 900
- 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
Growth
From USD 2400
- 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
Enterprise
From USD 4800
- 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
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.
