Skilled people doing machine work
Your team reads, sorts, copies and chases all day. The work is necessary, repetitive and quietly expensive — exactly what AI agents now do well.
Service 01 · Agentic AI
AI agents that do the work, not just talk about it.
We build agents that own a job end to end: they read the request, pull the right context, take action in your CRM, inbox or helpdesk, check the result and hand off to a named person when confidence drops. Designed, shipped and operated by our engineers.
Where it fits
Sound familiar?
Chatbots answered, nothing got done
You tried an AI assistant. It produced text, but someone still had to act on it. An agent that cannot take action moves work sideways.
Demos that never reached production
A proof of concept looked impressive, then stalled on reliability, edge cases and the question nobody answered: what happens when it is wrong?
What we build
What you get with Agentic AI.
Each of these ships as a working system in your tools — not a slide, not a prototype.
Single-purpose agents
One job, done completely: intake triage, lead qualification, document review, follow-up chasing, report writing.
Multi-agent systems
Specialist agents that research, draft, review and execute, coordinated by an orchestrator with clear hand-offs.
Tool use in your stack
Agents that read and write to your CRM, helpdesk, calendar, email, billing and internal APIs with scoped permissions.
Memory and context
Retrieval over your documents, history and records so every decision is grounded in your data, with citations.
Guardrails and escalation
Confidence thresholds, refusal rules, approval steps on anything involving money or clients, and a full audit trail.
Evaluation and monitoring
Test suites built from real cases, quality tracking in production and alerts before drift reaches a customer.
Use cases
What it looks like in practice.
Examples from the kinds of businesses we work with. Yours will be specific to how your team works today.
- Law firms
- An intake agent that qualifies inquiries against your criteria, collects evidence and books the consult.
- Sales teams
- A prospecting agent that researches accounts, enriches leads and drafts personalized first touches for approval.
- Operations
- A back-office agent that reads inbound documents, extracts the data and updates every system that needs it.
- Customer support
- A tier-one agent that resolves common tickets end to end and routes the rest with a summary attached.
- Leadership
- A reporting agent that compiles the morning numbers from five tools and flags what changed.
How it works
The system, at a glance.
What comes in, what the AI does with it, where your people stay in control and what goes out.
Comes in
- Emails & forms
- Calls & DMs
- CRM events
- Documents
AI agent
- Plans the steps
- Retrieves your data
- Uses your real tools
- Checks its own work
- Confidence threshold
Human in the loopA named person takes over below the confidence floor
Goes out
- CRM updated
- Meeting booked
- Reply sent
- Report delivered
How we deliver
From first call to production.
Weekly demos on your real data. You see it working long before it goes live.
- 1
Week 1
Map the job
We sit with the people who do the work today, document every step and decision, and agree one measurable outcome.
- 2
Weeks 1–3
Build in the open
Weekly demos on your real data. You see the agent reason, act and escalate long before launch.
- 3
Week 3–4
Shadow, then launch
The agent runs alongside your team in shadow mode. You read what it would have done before it does anything.
- 4
Ongoing
Operate and improve
Monitoring, evaluation and tuning. Every escalation becomes a test case so the agent gets better every month.
Built with
- OpenAI
- Anthropic Claude
- LangGraph
- MCP
- Temporal
- Supabase
- Pinecone
- Next.js
- Python
- TypeScript
Proof
Built, shipped, measured.
Legal · Personal injuryDarfoor Law Firm · Legal intake · Agentic AI
How Darfoor Law Firm captures and qualifies every lead, 24/7
100%of inbound leads answered, day or night
4 → 1channels unified into one intake pipeline
B2B · AI trainingChatWalrus · Agentic prospecting system
How ChatWalrus doubled its LinkedIn network without touching it
2×network growth in month one
1000sof leads processed weekly
Marketing agency · SEOWin Big Marketing · Agentic AI · Mission control
Win Big Marketing replaced monthly SEO reports with a real-time AI command center
Real timeSERP visibility, not monthly crawls
1 clickfrom gap to fix
“Awais is an exceptional engineer who excels at building complex, automated systems from the ground up. He has a rare ability to take sophisticated business logic and turn it into a high-performance, scalable infrastructure. His work on our proprietary ‘Intelligence Engine’ has been instrumental in creating a seamless, data-driven workflow that bridges the gap between client experience and backend efficiency. If you are looking for someone to build a system of intelligence, not just a standard app — Awais is the right choice.”
Rouvaun WalkerFounder & CEO, Powerbanc Lending
Questions
Agentic AI, answered.
Something else? awais@trillesai.com or +1 (213) 592-5948
Ask us on a callWhat is agentic AI, in plain terms?
Software that is given a goal rather than a script. An agent decides which steps to take, uses tools such as your CRM or inbox to take them, checks its own result and asks a person for help when it is unsure. A chatbot answers; an agent finishes the task.
How is an AI agent different from a Zapier automation?
Automations follow fixed rules: when X happens, do Y. Agents handle work that needs judgment — reading an unstructured email, deciding what it means and choosing the right action. Most of our systems combine both: deterministic automation for the predictable parts, agents for the parts that need reasoning.
What happens when the agent gets something wrong?
Every agent ships with a confidence threshold, refusal rules and an escalation path to a named person, with the full context attached. Anything involving money, legal judgment or a client commitment can require human approval. Before launch the agent runs in shadow mode on your real traffic.
How long does it take to build an AI agent?
A focused, single-job agent is typically live in two to four weeks. Multi-agent systems that touch several departments take longer and are scoped in phases, each with its own measurable outcome.
Do we own the agent you build?
Yes. Code, prompts, evaluation datasets, documentation and every account sit in your name. If we stop working together, nothing switches off.
Related services
Let’s scope your agentic AI project.
A 30-minute call with the engineers who would build it. We map the system live, tell you what it would cost and whether it is worth building.
Talk to a founderSalman AhmedCo-Founder & CTO · maps your business and designs the right AI system