Agent-based AI
that does the work

We build autonomous AI agents that take real action across your tools, not chatbots that answer questions, automating multi-step workflows end to end and owning measurable outcomes.

Trusted by Fortune-500 brands and ambitious startups across 36 countries
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What changes for you

From human bottleneck
to autonomous action

Agents that reason, plan, and execute across your real tools not demos that stop at the API boundary.

  • Multi-step tasks completed end-to-end

    Agents reason, plan, and execute across your CRM, ERP, helpdesk, and APIs not just one tool, not just one step.

    Trained on YOUR workflows
  • From pilot to production in 6–8 weeks

    We instrument the baseline, build on real data, and ship to one team before expanding no endless PoC cycles.

    Measurable ROI from week one
  • Agents your team owns after handoff

    Full runbooks, governance review, and observability dashboards so your engineers maintain and evolve agents without us.

    No vendor lock-in
  • Safe by design, not by accident

    Confidence thresholds, human-in-the-loop checkpoints, audit logs, and a kill switch any non-engineer can press.

    SOC 2 · RBAC · private VPC
Where AI projects die

Why most AI agents stay prototypes

Most agents demo well but never ship; we build for reliable, real-world action.

Who we work with

Built for the outcome owner

Whoever owns the result: we build agents calibrated to your business metric.

COO · VP Operations

Ops team scales with revenue

Automate the repetitive work your team does every day keep humans in control of exceptions.
  • Cycle time, throughput, $/transaction
  • Workflow dashboards · exception alerts
  • Hire flat while volume grows 3×
CTO · VP Engineering

My team is sick of maintaining demos

From AI prototype to secure production without adding long-term tech debt.
  • Eval harness · CI/CD · observability
  • Vertex AI / AWS Bedrock / self-hosted
  • Owned by your team after handoff
VP Customer Support

Tickets up 40%. Headcount frozen

Resolve repetitive tickets instantly. Escalate complex ones with full context.
  • Zendesk / Intercom / Freshdesk integration
  • 60–80% tier-1 deflection · CSAT-safe
  • Knowledge-base sync & gap reports
CIO · IT Director

Shadow AI is everywhere. I see none of it

Deploy AI safely inside your existing IT environment with governance and control.
  • SSO · RBAC · audit logs · DLP
  • VPC / on-prem / private cloud options
  • Vendor risk & SOC 2 documentation
VP Sales · RevOps

Reps spend half the day in CRM hell

Let AI qualify, enrich, route & follow up before your sales team touches the lead.
  • AI SDR · enrichment · scoring · routing
  • HubSpot / Salesforce sync · meeting prep
  • Conversation analytics & coaching
CFO · Finance Ops

Month-end is still a fire drill

Cut finance processing cost & cycle time with AI document automation.
  • AP / AR / expense / reconciliation
  • NetSuite / QuickBooks / SAP connectors
  • Approval routing & audit-ready logs
Production workflows we've shipped

AI agents delivering business outcomes

From intake to reporting, twelve agents take real action across teams.

Healthcare
Healthcare

Patient intake agent

Pre-visit forms, insurance verification, triage routing. 12-min check-in → 90 seconds.

↓ 87% intake time · $1.4M / yr saved
Finance
Finance

KYC document review

Extracts, validates, flags, routes. Compliance team reviews exceptions instead of every file.

↓ 4d → 6h · 99.2% accuracy
Travel
Travel

AI concierge + itinerary fixer

Watches bookings, catches missing passports, expiring quotes, tight connections pings the advisor.

↑ 23% conversion · $0 missed-doc fees
Logistics
Logistics

Shipment exception handler

Reads carrier feeds, classifies delays, drafts customer comms, coordinates re-routing with ops.

↓ 62% manual touches
SaaS
B2B SaaS

AI SDR + lead qualifier

Enriches inbound leads, scores fit, books meetings, syncs to HubSpot. Reps only see qualified.

↑ 3.1× SDR throughput
Ecommerce
Ecommerce

Returns & refund agent

Reads request, checks policy, decides refund/replace/decline, drafts response, writes to OMS.

↓ 71% tier-1 tickets/div>
services
Professional services

Proposal & report drafter

Pulls from past projects, scoping notes, brand kit. Draft on the partner's desk in 20 minutes.

↓ 6h → 30min per proposal
Education
Education

Enrollment & tutor agent

Answers admission FAQs 24/7, flags incomplete files, books advisor calls, hands off mid-thread.

↑ 41% complete-by-deadline rate
Cross
Cross-functional

Internal knowledge agent

Slack-native answers from your wiki, runbooks, tickets and code. With citations & freshness checks.

↓ 2.3 hrs / wk per IC
The 6-8 week sprint

Whiteboard to live agents, eight weeks

From scoping to live agents, we ship with measurable outcomes on a dashboard.

Week 1–2 · Discovery

Pick the workflow

Process mining with the team that does the work. Baseline the manual cost. Pick the one with fastest payback.

DeliverableOne-pager: scope, success metric, baseline.
Week 3–4 · Prototype

Build on real data

Eval-driven prompt + agent design. Real user inputs, your tone of voice, your edge cases. Demo on Friday.

DeliverableWorking prototype, eval harness, go/no-go review.
Week 5–7 · Wire it in

Integrate & harden

Production integrations, SSO, rate limits, retries, fallbacks, HITL queues, observability and audit logs.

DeliverableLive for 1–2 teams · dashboard tracking the metric.
Week 7–8 · Hand-off

Owned by your team

Runbooks, training, governance review, on-call drills. Optional 3-month SLA for evolution & tuning.

DeliverableProduction ownership · ROI report · roadmap for #2.
What we hear from buyers

Your pain. Where an agent . earns its keep.

What it looks like in your team What it costs you What an agent changes
Invoices, contracts, claims, onboarding docs handled by people 4–7 day cycle times, 2–4% error rates, hard to audit OCR + LLM extraction → routing → approvals → ERP. Cycle drops to hours; every step logged.
CRM, ERP, helpdesk, spreadsheets, email don't talk Duplicate work, stale data, "let me check three tabs" Event-driven agent on top of n8n / Power Automate; one source of truth, no rip-and-replace.
ChatGPT pilot · copilots · demo bots none in daily use Leadership patience & budget evaporating One narrow workflow shipped to one team in 6–8 weeks. Then expand.
Support team can't keep up with ticket volume Slow first response, churn risk, expensive headcount Tier-1 agent resolves 60–80% with full ticket context; complex tickets escalate with summary.
Legacy systems with no APIs Automation blocked; manual workarounds everywhere Power Automate / RPA wrapping the legacy app; modern API surface for the agent.
Compliance & data residency concerns AI projects stuck in security review for months Private VPC / on-prem deployment, SOC 2 controls, audit logs, data redaction at the edge.
AI PRODUCTS, IN PRODUCTION

AI agents working in real production

Live agents automating multi-step workflows end to end across real tools.

Industry expertise

The stack behind autonomous AI agents

Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.

How we build it

The stack behind autonomous AI agents

The orchestration, tool, and guardrail stack that keeps agents acting safely.

AI & Frontend
Deep integrations.
Maximum performance.
Anthropic Claude
OpenAI / GPT-4o / o1
LangChain
LangGraph
Google Gemini
Vertex AI
Intelligent interfaces built for modern user interactions.
Backend & AI Systems
Scalable. Secure.
Production-ready.
Llama / Mistral AI
Pinecone / Weaviate
DeepSeek / pgvector
n8n / Zapier
Power Automate
AWS Bedrock
AWS Lambda
Amazon EventBridge
Secure, scalable architectures powering intelligent systems.
Data & Enterprise Systems
One codebase.
Many platforms.
Salesforce / HubSpot
Intercom / Intercom
Freshdesk / Sentry
SharePoint / Teams
OpenTelemetry
Microsoft 365
LangSmith
Reliable data foundations for automation and intelligence.
No vendor lock-in Pause, pivot or stop anytime.
Tailored to your goals Tech that fits your roadmap.
Built for speed & scale Deliver value, faster.
Secure by default Best practices, every time.
Word of mouth

What clients tell their peers.

Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.

trieval

"They feel like our team — not a vendor."

RH
Ismail Abualsmah
CEO, Trieval
01:18
Repeat client
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Fast turnaround
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.

News & insights

Check Out the Latest Trends and Tech Discussions

We constantly come up with top-tier resources and breathtaking ideas that would help you stay informed about
the latest happenings in the tech world.

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Frequently Asked Questions

The questions every founder asks us.

  1. Agent-based AI systems are autonomous digital workers that can reason, plan, and execute multi-step tasks independently, unlike chatbots that mainly respond to queries in scripted or conversational ways.​

  2. Yes, these AI agents are designed to take goal-directed actions, such as scheduling meetings or automating workflows, without needing step-by-step human input.​

  3. Instead of just answering FAQs, agents access order histories, troubleshoot issues, initiate returns, and escalate seamlessly with full context, providing end-to-end resolution.​

  4. Absolutely, agents can qualify leads, provide personalized recommendations, and book demos 24/7, proactively driving sales without waiting for customer initiation.​

  5. Agents can handle routing emails, processing invoices, managing inventory, and executing rule-based business processes autonomously, boosting operational efficiency.​

  6. Fullestop builds agents with robust error handling, transparent logging, human checkpoints, and secure tool integration to maintain control and predictability.​

  7. Yes, agents securely integrate with your CRM, databases, ERP, and proprietary APIs to perform real-time actions with your current systems.​

  8. Agents are designed with flexibility, allowing iterative adjustments and reconfiguration as your workflows and goals evolve.​

Pick your starting line

Three ways to get your AI agents doing real work.

First autonomous agent prototype or an enterprise workflow that needs agents with audit trails and guardrails we have a low-risk first step for both.