Practical AI that pays foritself in 90 days
We deploy AI agents, chatbots and document automation that remove repetitive work — not science projects.
We focus on the 2–3 AI use cases in your business with the highest ROI and ship the first one in 4–6 weeks. Built on proven models (OpenAI, Claude, open-source). No black boxes.
Forget the AI hype — here's what actually works
You don't need to train a model from scratch. 80% of the AI value for mid-market companies comes from gluing existing models (GPT-4, Claude, Whisper) to your real workflows: customer support, document processing, sales follow-up, internal Q&A.
We pick the use cases with clear ROI, ship them fast, measure them, and only then move to the next.
Live in 4–6 weeks
First use case in production
Tied to ROI
Hours saved or revenue gained
Your data, your control
Private deployments available
Your team is doing AI-shaped work without AI
Most mid-market companies have huge automation opportunities hiding in plain sight.
Hours a day on email and tickets
Customer support, sales follow-up and internal questions eat 30–50% of your team's time — and most of it is repetitive.
Documents processed by hand
Invoices, contracts, forms, receipts — someone is reading and typing them into a system every day.
You're flying blind on data
You have years of sales, support and operational data sitting in databases — but no one has the time to mine it for insights.
AI use cases we ship
Each one designed to remove a specific source of repetitive work or unlock a specific decision.
AI chatbots & support agents
Handle 60–80% of repetitive customer questions.
Conversational agents trained on your knowledge base, product catalog and past tickets. Web, WhatsApp, email. Hand off to a human when needed.
- Trained on your real docs and tickets
- WhatsApp, web chat, email channels
- Lead qualification + appointment booking
- Smooth handoff to a human agent
- Conversation analytics dashboard
Document & invoice automation
Read PDFs, invoices and contracts automatically.
OCR + GPT-4 vision pipelines that extract structured data from invoices, receipts, contracts, forms — and push it into your accounting, ERP or CRM.
- Invoice and receipt extraction
- Contract clause review
- Form processing and validation
- Sync into your existing systems
- Audit log for every extraction
Predictive analytics
Turn historical data into forward-looking decisions.
Sales forecasting, churn prediction, demand planning, fraud detection. Built on your operational data. Delivered as dashboards your team can act on.
- Sales and demand forecasting
- Churn prediction with action triggers
- Inventory optimization
- Anomaly and fraud detection
- Real-time dashboards
AI workflow automation
Multi-step processes handled by AI agents.
Agentic workflows that read an email, classify it, query your database, draft a response, get human approval and execute. Zapier and n8n on steroids.
- Agent orchestration with handoffs
- Decision rules + AI judgement
- Email and document triggers
- Connects to your existing stack
- Always with a human approval step
Sales & marketing AI
Outbound, follow-up and content at scale.
AI assistants that draft personalized outbound emails, qualify inbound leads, follow up automatically and surface the most-likely-to-close opportunities to your sales team.
- Personalized outbound generation
- Lead scoring and routing
- Follow-up sequences with AI
- CRM auto-enrichment
- Pipeline insights for sales managers
Internal AI assistant (RAG)
Your company knowledge, queryable in plain language.
A private ChatGPT trained on your internal docs, processes, contracts and tickets. Your team asks in natural language; the assistant answers with citations.
- Private deployment (your data stays yours)
- Trained on Notion, Drive, SharePoint, Slack
- Cited sources for every answer
- Role-based access
- Slack and Teams integration
AI is the right move for you if…
Honest signals that AI will deliver real ROI in your business right now.
- Your team handles 100+ similar customer questions per week.
- You process more than 200 documents (invoices, receipts, forms) per month manually.
- You have 2+ years of historical sales, support or operational data.
- Your reps spend more time writing follow-ups than talking to prospects.
- New hires take more than a month to ramp up because knowledge is scattered.
- You've tried no-code AI tools (Zapier AI, Make) and hit the limits.
Why companies pick Tamec for AI
We are engineers, not AI evangelists. We ship working agents, not slide decks.
ROI-first picking
We refuse to start a project without a clear metric (hours saved, tickets deflected, conversion lift). If a use case can't be measured, we don't build it.
Use existing models, ship fast
GPT-4, Claude, Llama, Whisper — these models already work. We focus on the integration and the workflow, which is where 90% of value lives.
Private and explainable
Private deployments, your data never trains a public model, every AI decision is logged and auditable. SOC 2 friendly.
You can take it in-house
No proprietary lock-in. Standard Python/Node code in your repos. Documentation any senior engineer can pick up.
How we ship AI in 4–6 weeks
A focused process that picks the right use case before writing any prompt.
Use-case workshop
Half-day session with your team. We map 5–10 candidate use cases and pick the one with highest ROI × lowest risk.
Data audit & prototype
We check the data is good enough, build a quick prototype and validate the AI output with your team.
Build, integrate, test
Production-grade integration with your stack, monitoring, fallbacks and human-in-the-loop where needed.
Launch & measure
Go live with a small group, measure against the success metric, expand. Then plan the next use case.
Where we've seen AI pay for itself
Common high-ROI patterns we've shipped for mid-market companies in LATAM.
Context: Customer support team flooded with "where is my order?" tickets.
What we built: WhatsApp AI agent that takes the order number, queries the ops system and returns live status.
→ −65% in support tickets and 24/7 availability without hiring.
Context: Wholesaler processing 800 supplier invoices per month manually.
What we built: Document AI pipeline that extracts line items and pushes them into the accounting system with human review.
→ From 4 days/month of data entry to 30 minutes of validation.
Context: Consulting firm where new hires took 6 weeks to find answers in scattered docs.
What we built: Private RAG assistant on top of Notion, Drive and Slack history with cited sources.
→ Onboarding ramp cut from 6 weeks to 2.
AI stack we use
Production-grade tools, not weekend experiments.
OpenAI GPT-4 / Claude
Top-tier reasoning models for chat and agents
LangChain / LlamaIndex
RAG pipelines and agent orchestration
Pinecone / Supabase pgvector
Vector search for company knowledge
Whisper + Vision
Audio transcription and document vision
n8n / Temporal
Workflow orchestration with retries and observability
Common questions about AI projects
Continue exploring
Recommended next step plus a few related paths
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AI agents, automation and CRM integration
Case Studies
20+ real projects with measurable results, by industry
How We Work
Our weekly demo cadence and transparent process
Ready to talk?
A free 30-min diagnosis is the fastest way to a written proposal.
What if your team got 10 hours a week back?
Book a free AI diagnosis. We'll review your operation and identify the top 3 AI use cases with the highest ROI for your business.
No deck. Just a working session with a senior AI engineer.