We design, build, and operate autonomous AI agents that handle real workflows — voice booking, customer operations, sales setting, internal knowledge — with the safety guardrails and observability needed to put them into production.
Generative AI is past prototype. The companies operationalizing it now are the ones who'll be hard to catch in three years.
Built for a major Middle East hospital group: an autonomous voice AI that handles end-to-end inbound appointment booking — patient ID, symptom triage, doctor and slot selection, confirmation, and execution — 24/7, in Arabic and English, no human in the loop.
Production-tested agents grouped by where they sit in your operation. Each one lands in 4–6 weeks from kickoff.
Voice and chat agents that own the customer-facing surface — bookings, support, intake, scheduling.
Autonomous phone-based booking, 24/7.
End-to-end inbound call handling — identification, triage, calendar resolution, confirmation, and booking — with full safety guardrails. Production reference: a Middle East hospital group running thousands of calls per month.
Answers 70%+ of incoming tickets, escalates the rest cleanly.
Trained on your knowledge base, your tone, and your refund/credit policy. Knows when to hand off to a human — and when not to.
Onboards new clients without a human in the loop.
Collects required information, validates it, walks the client through next steps, and writes a structured record into your system of record.
Coordinates calendars across teams and clients.
Finds slots, drafts invites, handles reschedules, sends reminders. Native integration with Google, Microsoft 365, and Calendly.
Lead qualification, follow-up, call analysis, proposal drafting, and CRM operations — the work that compounds when automated.
Qualifies inbound leads before they hit your team.
Conversational qualification on web or phone, BANT or custom criteria, automatic CRM enrichment, and routing rules that match your sales playbook.
Books qualified meetings on your AE's calendar.
Voice or chat agent that confirms intent, qualifies, and books a meeting — replacing or augmenting an SDR seat.
Listens across calls, email, SMS, and chat — turns every conversation into structured signal.
Multi-channel ingestion, 120+ language transcription, schema that learns the operator's products and intents, and continuous syncs to CRM, BI, product, and compliance systems. Production reference: a B2C conversation-intelligence platform serving multiple industries.
Mines call transcripts for objections, sentiment, and next steps.
Post-call: transcribe, summarize, classify sentiment, flag objections, draft a follow-up email, push notes to CRM. Compounds across the team.
Re-engages no-shows automatically.
Conversational follow-up via SMS or email when a meeting is missed. Reschedules without your team writing a single message.
Turns a closed-won note into a draft proposal.
Pulls scope, pricing, and terms from CRM + your template library. Produces a tailored proposal a human reviews — not edits from scratch.
Knowledge agents, executive assistants, billing, internal Q&A — the work that keeps the lights on.
Answers internal questions from your private docs.
Slack or web interface, retrieval-augmented over your wiki, drives, and ticketing system. Audit trail per query.
Inbox triage, calendar logistics, brief prep.
Reads incoming mail, classifies, drafts replies for high-volume categories, queues low-priority for batch review, prepares meeting briefs from prior context.
Handles invoice questions and payment status without humans.
Conversational AR support — answers status questions, applies pre-approved adjustments, escalates the rest with full context.
Generates client reports automatically.
Pulls metrics, writes the narrative, formats the PDF. Replaces the 40+ hours per week typical agencies spend on reporting.
Content generation, SEO, social, email — agents that turn briefs into shippable artifacts.
7 specialized agents from intake to paid-media spend, with HITL at every gate.
Planner → Creative → Assembly → QA → Listening → Dashboard → Paid Media. Token-level SSE streaming, doctrine codified in YAML and Pinecone, engine-aware prompt assembly, and a reputational shield that rejects rage-bait even when it scores high on raw CTR. Production reference: a civic & political-communications platform.
Drafts, optimizes, and schedules SEO content end-to-end.
Keyword research → outline → draft → on-page SEO → CMS push. Brand-voice trained on your existing content.
Generates and schedules platform-native posts.
One brand brief → LinkedIn carousel + X thread + Instagram caption + scheduled cadence. Tuned per platform, not copy-pasted.
RPA-class workflows powered by LLM reasoning, not just brittle scripts. For the work where rules change.
Bridges legacy systems where APIs don't exist.
Browser-driving + LLM reasoning. Handles the gnarly internal workflows that defeated traditional RPA because the rules keep changing.
Four phases. Done-with-you, not done-to-you. Capability stays with your team.
Map your workflows, identify where agents create the highest ROI, attach dollar figures, prioritize. Most engagements identify $5–10K/month in addressable savings before any code is written.
Conversation flows, guardrails, escalation paths, integration map. We prototype the riskiest parts first — voice quality, edge-case handling, latency budgets.
Build the agent, integrate with your stack, supervised launch with human-in-the-loop, then scale to autonomous operation as confidence builds. Production observability from day one.
AI changes every 90 days. We stay engaged on retainer — model updates, new capabilities, guardrail refinement, performance tuning — so you stay ahead of it.
The same primitives the production voice agent runs on — chosen because they hold up at scale.
Every agent we ship has explicit constraints on what it can say and do — enforced at the orchestration layer, not just in the prompt.
The agent literally cannot perform actions outside its declared toolkit. No prompt-injection slip can trick it into running unauthorized operations.
Healthcare agents won't give medical advice. Financial agents won't recommend trades. We define the no-go zones up front and enforce them in code.
Irreversible actions (booking, billing, sending) require explicit confirmation. The agent is fast, but never reckless.
Every conversation, every tool call, every decision is logged with full context. Required for healthcare; valuable everywhere else.
When the agent isn't sure, it hands off to a human cleanly — with full conversation context — rather than guessing.
A ChatGPT subscription isn't an AI agent — it's a tool a human still operates. Real agents run autonomously, integrate with your systems, and produce outcomes not text.
Agentic AI is half engineering, half judgment about your operations. Without someone who deeply understands the workflow, you'll ship the wrong thing very efficiently.
If your only AI knowledge lives at a vendor, you're stuck with that vendor forever. Engagements should transfer capability — runbooks, prompts, evals — to your team.
The real ones — the questions every prospective client asks before the audit.
It's not the goal. Real ROI comes from freeing your best people to do work that requires human judgment — by handing the repetitive 60–80% of their queue to agents. The headcount question is downstream of that and varies per business.
A chatbot answers questions. An agent reasons, plans, calls tools, executes actions, observes outcomes, and adjusts. Our voice booking agent doesn't just talk about appointments — it actually creates them in the hospital's API.
Yes — but it depends on the architecture. We deploy on your infrastructure when required, support local-only LLMs (Ollama, vLLM) for sensitive workloads, and design with explicit data-flow controls. Healthcare-grade engagements have shipped this way.
ChatGPT is a tool a human operates. We build infrastructure that operates 24/7, integrates with your systems, has guardrails, has audit trails, and is accountable to specific outcomes. Different category.
You can — many of our clients eventually do, with the team and patterns we leave behind. We typically save you 6–12 months of figuring out which tooling holds up in production and which doesn't. After that, the operational knowledge lives with you.
Almost everyone says that. The reality is that the work-pattern automation is generic, even when the domain is specialized — hospitals, ports, banks, agencies all have intake, scheduling, follow-up, reporting. We build domain-specific agents on top of those patterns.
Three layers of defense: scope enforcement (it can't do things you didn't authorize), confirmation loops (irreversible actions require explicit confirmation), and graceful escalation (when uncertain, hand to human). Plus full audit trail for every action.
First production agent typically deploys in 4–6 weeks from kickoff. Measurable ROI by month 2–3. The compounding value — across more workflows, better models, accumulated knowledge — shows up over 12+ months.
One week. We map your workflows, identify the highest-ROI agents, and attach dollar figures. No commitment beyond the audit.
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