We don’t sell another dashboard full of buttons for your team to configure alone, and we don’t hand over a prototype and walk away after eight weeks. We build, secure, and run a governed platform of production AI agents wired into your real operations—24/7 and under our SLA.
Human gate
For forty years, enterprise software digitized records while leaving human beings trapped as the manual glue copying and pasting data across email, WhatsApp, spreadsheets, and the ERP. Today, AI agents can execute that operational work end to end—yet most companies run into a false choice:
OPTION 1 · SAFE, BUT USELESS
Out of justified fear that AI will hallucinate or leak sensitive data, companies lock models inside a chat window disconnected from core systems. It can summarize a PDF, but it cannot query your ERP, reconcile an invoice, or process an order. Operational ROI is near zero.
OPTION 2 · FAST, BUT RECKLESS
Teams desperate for speed wire up brittle scripts or over-privileged agents directly to production APIs—with no audit trails, no untrusted data fencing, and no human gates before an irreversible action reaches a customer.
THE TALO WAY · MANAGED AGENTOPS
Specialized agents operating across your real systems inside hard code boundaries: least-privilege permissions, deterministic math validation, 1-click human approval gates for critical decisions, and our engineers running the platform every day.
74%
of companies running customer-facing AI agents in production had to roll back or shut them down due to a governance failure.
Source: Sinch — The AI Production Paradox (2026), survey of 2,527 enterprise leaders across 10 countries
Breakdown by failure type
Clean sample data, hand-picked scenarios, and everyone watching the initial demo.
The traditional consultancy hands over a code repo and a PDF manual, collects the final invoice, and leaves. The SaaS vendor leaves you alone with an empty dashboard.
A supplier changes their PDF purchase-order layout, an ERP endpoint times out on Friday afternoon, or an incoming email carries an ambiguous instruction. Production agents are living systems that must be operated every day.
A framework is just a developer library; guardrails are just the brakes. The Talo Platform integrates four layers of software engineering and continuous human operation so your agents work on Day 1 and keep working on Day 300.
“We need to separate the supply of intelligence from the authority over it.”
We unify the context scattered across your ERP, CRM, WhatsApp, email, and PDFs through strictly typed MCP connectors. The model reads, classifies, and extracts; deterministic code validates tax IDs, verifies totals to the cent, and enforces idempotency so a network retry never duplicates a transaction.
Lookups, inventory cross-checks, and draft preparation run autonomously under least-privilege permissions, ephemeral credentials, and Untrusted Data Fencing against prompt injection. But posting a final accounting entry, approving a commercial exception, or sending a critical external message halts at a hard Human Gate in code where your team approves or edits with a single click.
We never flip a production switch blindly on day one. Every agent first runs in Shadow Mode in parallel with your operation: processing the same incoming orders, emails, or invoices as your team and logging the exact action it would take—without touching final systems. It only goes live after outperforming your baseline and passing our 10 security controls.
Our engineering team operates your agents in production under SLA. We monitor every execution trace with OpenTelemetry, control inference cost per task, and run a continuous Trace-to-Test loop: every time someone on your team adjusts an agent’s proposal at a human gate, that correction becomes a permanent automated regression test so the system never repeats the mistake.
Before promoting any agent from Shadow Mode to live production, our architecture and cybersecurity engineering verifies ten mandatory code-level controls:
00/10
Controls passed
Together we pick the repetitive workflow costing your team the most time and errors today, measure the baseline, and deploy your first agent in parallel on real traffic—risk-free, before touching live production.
We run Talo Tech on this same platform, under the same human gates we install in your systems.
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