Build AI that works
for your business.
We design, build and deploy AI, Generative AI and Agentic AI solutions that automate workflows, improve productivity and create measurable business impact.
Reduce Manual Effort
Automate high-volume, repetitive tasks so your team focuses on work that matters.
Speed Up Response
AI agents respond instantly — 24/7 — without queues or wait times.
Improve Productivity
Augment your team with AI copilots and intelligent workflows.
Scale Operations
Handle growing volumes without proportional headcount growth.
Solutions
AI solutions built for real business outcomes
Every solution is designed around a specific business problem, integrated into your existing systems, and delivered with measurable KPIs.
- 8 solution families
- Vendor-neutral recommendations
- Human-in-the-loop by design
AI Voice Agents
Human-like voice AI for inbound and outbound calls.
AI Chat Agents
Conversational AI for website, WhatsApp and messaging platforms.
Agentic Workflows
Multi-step AI agents that reason, act and update systems autonomously.
RAG & Knowledge AI
Private AI assistants grounded in your company's documents and data.
AI Copilots
Role-specific AI assistants that help your team get work done faster.
Document Intelligence
Extract, validate and route information from business documents.
AI Automation
End-to-end process automation powered by AI decision-making.
AI Strategy & Consulting
Map AI opportunities, define your roadmap and build internal capability.
Natural AI Voice Agents
High-fidelity, ultra-low-latency voice interfaces capable of natural interruptions, schedule bookings, and live CRM updates without robotic delays.
Hi, I'd like to book a cleaning for next Tuesday.
Autonomous Chat & Tool Orchestration
Agentic chat systems that don't just answer questions—they securely query databases, invoke internal APIs, resolve order disputes, and escalate to humans with full audit trails.
Custom AI Workflow Automation
From automated invoice reconciliation and CRM enrichment to contract analysis and RAG knowledge search, each workflow is tailored to your business operations.
Invoice Processing Agent
Reads invoices from the inbox, extracts line items, matches POs and posts to your ERP for approval.
Lead Qualification Agent
Enriches inbound leads, scores fit and intent, then routes hot prospects to the right rep instantly.
Knowledge Copilot (RAG)
Answers staff questions with cited sources from your policies, SOPs and wikis — inside Slack or Teams.
Contract Review Assistant
Flags risky clauses, compares against your playbook and drafts a redline summary for legal review.
Support Inbox Triage
Classifies every email, drafts grounded replies and escalates edge cases to a human with full context.
Meeting → CRM Agent
Turns call recordings into structured notes, next steps and CRM updates — no manual data entry.
How We Work
From idea to production
A structured delivery process that reduces risk and creates measurable outcomes at every stage.
Discover
Map the Opportunity
We analyse your current processes, identify where AI creates the most value, and produce a prioritised opportunity map with feasibility and complexity assessments.
- Process workshop
- Opportunity map
- Feasibility scoring
- Priority roadmap
Design
Architect the Solution
We design the AI system architecture, define workflows, specify integrations, establish governance requirements, and create the technical blueprint for your pilot.
- System architecture
- Integration plan
- Governance design
- Pilot charter
Build
Develop & Configure
We build the AI agents, workflows and integrations, configure knowledge systems, set up evaluation frameworks and prepare the solution for pilot deployment.
- Configured AI system
- Integration connectors
- Evaluation suite
- Test documentation
Deploy
Integrate & Launch
We deploy to production with security controls, monitoring, human approval gates and a runbook — ensuring a controlled and measurable launch.
- Production deployment
- Security controls
- Monitoring setup
- Operations runbook
Optimise
Measure & Improve
We monitor performance against your KPIs, evaluate quality continuously, optimise prompts and models, manage costs and implement enhancements — keeping your AI productive.
- KPI dashboard
- Quality reports
- Cost optimisation
- Enhancement roadmap
What AI unlocks
Real operational advantages
These are the outcomes businesses typically achieve when AI is designed into their operations rather than bolted on.
24/7
Always-On Availability
AI agents operate continuously without queues, wait times or after-hours gaps.
Faster
Response & Resolution
Automated handling of routine queries and processes eliminates manual delays.
Scalable
Without Headcount Growth
Handle higher volumes of customers, documents and workflows without proportional staffing increases.
These outcomes reflect typical patterns from AI implementations. Actual results depend on process scope, integration complexity and adoption. tensorslate does not guarantee specific performance improvements.
Solution Examples
Illustrative AI workflows
These are example solutions designed for common business challenges. Not client case studies — illustrative configurations of how AI systems can be structured.
Customer Onboarding Voice Agent
Challenge
Manual onboarding calls took 15–20 minutes per customer and required significant agent time for standard document collection.
AI Solution
An AI Voice Agent that guides customers through onboarding, collects document confirmation and creates CRM records automatically.
Integration points
CRM, document management system, email notification
Typical outcome
Typical onboarding calls handled automatically for standard cases, with complex cases seamlessly escalated to human agents.
Order Status & Support Chat Agent
Challenge
High volume of repetitive order status queries consumed support team capacity and caused long response times.
AI Solution
An AI Chat Agent integrated with the OMS to provide real-time order status, handle returns initiation and resolve common queries without agent involvement.
Integration points
Order management system, customer data platform, helpdesk
Typical outcome
Routine order queries resolved automatically at any hour, freeing support agents for complex customer situations.
Internal Knowledge & Policy Assistant
Challenge
Employees spent significant time searching across multiple knowledge systems for policy documents, SOPs and project precedents.
AI Solution
A RAG-based knowledge assistant that retrieves accurate, cited answers from approved internal documents within the team's existing workspace.
Integration points
Confluence, SharePoint, Slack, Google Workspace
Typical outcome
Employees find answers in seconds rather than searching across systems, with source citations for verification.
Built for Enterprise
AI you can trust in production
Security, governance and human oversight are designed into every solution we build — not added as an afterthought.
Secure by Design
Security controls, data access policies and encryption are designed in from the start — not bolted on.
Human in the Loop
Every AI system includes configured human approval, review and escalation paths for controlled actions.
Full Observability
Production systems include monitoring, logging, alerting and quality dashboards so you always know what your AI is doing.
Auditability
Every AI decision, action and output is logged with the context that produced it — supporting review, compliance and improvement.
Flexible Deployment
Deploy to your cloud account, on-premise or our managed environment — with environment separation and controlled access.
Continuous Improvement
We monitor quality, manage costs and iterate the AI system against your evolving business requirements.
FAQ
Common questions
Practical answers to what businesses typically ask before starting with AI.
- We offer project-based engagements for scoping, pilot and production delivery, and a managed service model for ongoing AI operations. We scope and price each engagement after an initial discovery conversation so you know exactly what you're investing in.
- A focused AI pilot typically takes 4–8 weeks from design to evaluation. Production deployment timelines depend on integration complexity and the number of systems involved. We define realistic timelines during the AI Opportunity Scan.
- Yes. We design integrations for your existing CRM, ERP, ticketing, communication and document systems. We assess integration scope and complexity as part of the initial discovery.
- We design solutions with your security requirements from the start — covering data residency, encryption, access controls, audit logging and human approval gates. We work with your infosec team throughout the engagement.
- Not necessarily. We can work with your existing cloud accounts or help you establish the right infrastructure. Model selection is part of the design process — we choose models appropriate for your use case, cost and compliance requirements.
- We design human escalation paths and fallback workflows for every AI system we deploy. AI agents are configured with guardrails, and all critical actions include human review or approval steps.
- That is exactly what the AI Opportunity Scan is for. We map your current processes, identify AI-suitable tasks, score feasibility and value, and deliver a prioritised roadmap.
- Yes. Our AI Operations & Optimization service covers monitoring, quality evaluation, cost management, model updates and continuous improvement after production launch.
- We implement evaluation frameworks, quality monitoring and scheduled knowledge base updates. Accuracy KPIs are tracked and reviewed regularly as part of managed operations.
- We design AI systems to augment teams, not replace them. Our solutions handle high-volume routine tasks so your team can focus on judgment, relationships and higher-value work. Human-in-the-loop controls are a standard part of every engagement.
Ready to grow with AI that works?
Start with a conversation. We'll identify where AI creates the most value for your business and map a practical path to production.
Or email us directly: contact@tensorslate.com