AI Agent Development Services

Stop shipping chat widgets. We design Multi-Agent Workflows that research your ops in 30 days and deliver production AI agents in 60 — systems that reason with LLMs, call your tools, remember context, and finish multi-step work.

30

Days to research, consult, and map Multi-Agent Workflows — before a single agent ships

60

Days to production AI agent development — reasoning, tools, memory, and multi-step execution

MCP

Model Context Protocol and API tool use so agents connect to the systems you already run

1

Agent Program path — research and mapping first, then production delivery

Get a free Agent Opportunity consult

Like our GEO visibility report — but for automation. Tell us where work piles up and we outline which Multi-Agent Workflows are worth building first.

Workflow bottlenecks mapped
We identify where multi-step work stalls — and which agents would finish the job.
Tool & MCP inventory
APIs, CRMs, docs, and Model Context Protocol targets scored for production fit.
30 → 60 day roadmap
A clear path from research and consultation to production AI agent delivery.
Risk & guardrail scope
Human-in-the-loop, permissions, and evaluation called out before anything ships.

What you leave with

A prioritized agent blueprint — not a chatbot pitch deck

Day 0Opportunity consult & stack snapshot

Day 30Research, consultation & workflow map

Day 60Production agents live with handoff

Where AAD wins

Production AI agents pay off where work is multi-step, tool-heavy, and too expensive to keep doing by hand — not where a FAQ widget is enough.

COOs · Ops leads

Operations & Back Office

Agents that research tickets, update systems of record, and push work through Multi-Agent Workflows so your ops team stops living in spreadsheets.

Intake → triage → update CRM or ERP
Document lookup with persistent memory
Human approval before irreversible writes

Sales leaders · RevOps

Sales & Revenue Ops

Agents that qualify leads, enrich accounts, draft follow-ups, and hand clean opportunities to your team — connected to the tools you already run.

Lead research and enrichment via APIs
Pipeline hygiene across CRM stages
Meeting briefs before every call

CX · Support managers

Support & Success

Beyond FAQ chatbots — agents that pull order history, open tools, resolve multi-step issues, and escalate with full context when needed.

Tool calling into helpdesk and billing
Multi-step resolution paths
Audit logs for every agent action

Merchants · Growth teams

Ecommerce & Catalog

Agents that keep catalogs clean, answer product questions with live inventory context, and automate vendor and listing workflows.

Catalog QA and listing updates
Order status and returns triage
Vendor upload and sync workflows

Founders · Product · IT

Internal Knowledge Work

Multi-Agent Workflows that research internal docs, draft briefs, and coordinate handoffs across teams without another SaaS silo.

MCP connections to docs and repos
Research → draft → review loops
Operator runbooks after handoff

How does AAD work?

Two phases. Day 30: research, consultation, and Multi-Agent Workflow mapping. Day 60: AI agent development — reasoning, tools, memory, and multi-step execution in production.

Phase 130 days

Research, Consultation & Workflow Mapping

We start with your operations — not a chatbot demo. In the first 30 days we research where work stalls, consult with stakeholders, and map Multi-Agent Workflows that can reason, call tools, and hand off between agents. You leave Phase 1 with a clear blueprint: which agents to build, which systems they touch, and how success will be measured.

Process researchStakeholder consultationWorkflow mappingMulti-Agent WorkflowsMCP & tool inventory

Discovery workshops across ops, sales, support, and product Current-state process maps and automation opportunity scoring Multi-Agent Workflow design — roles, handoffs, and guardrails Tooling audit: APIs, CRMs, docs, and Model Context Protocol (MCP) targets Memory, evaluation, and security requirements for production agents 60-day build roadmap with milestones your team can approve

Phase 260 days

AI Agent Development & Delivery

From day 30 through day 60 we build production AI agents — autonomous systems that use large language models for reasoning, connect to external tools via APIs or protocols like Model Context Protocol (MCP), maintain persistent memory, and execute multi-step workflows. Agents ship with monitoring, human-in-the-loop controls, and handoff docs so your team can run them with confidence.

AI agent developmentTool callingPersistent memoryMCP integrationsEvaluation & monitoring

Custom agent architecture for your mapped Multi-Agent Workflows LLM reasoning layers with structured tool use and API connectors Model Context Protocol (MCP) and third-party system integrations Persistent memory, session state, and audit-friendly logging Multi-step workflow execution with retries and human approval gates Staging, evaluation harness, launch support, and operator training

Phase 130 days

Research, Consultation & Workflow Mapping

We start with your operations — not a chatbot demo. In the first 30 days we research where work stalls, consult with stakeholders, and map Multi-Agent Workflows that can reason, call tools, and hand off between agents. You leave Phase 1 with a clear blueprint: which agents to build, which systems they touch, and how success will be measured.

Process researchStakeholder consultationWorkflow mappingMulti-Agent WorkflowsMCP & tool inventory

Discovery workshops across ops, sales, support, and product Current-state process maps and automation opportunity scoring Multi-Agent Workflow design — roles, handoffs, and guardrails Tooling audit: APIs, CRMs, docs, and Model Context Protocol (MCP) targets Memory, evaluation, and security requirements for production agents 60-day build roadmap with milestones your team can approve

Production agents built to act

Inspired by how we ship full-stack apps — AAD delivers the full agent stack together: reasoning, tools, memory, workflows, and guardrails. No orphaned demos.

LLM Reasoning

Agents plan and decide with large language models — not scripted decision trees that collapse outside the happy path.

Tool Calling & APIs

Connect CRM, helpdesk, docs, billing, and custom APIs so agents can act in your stack — not just talk about it.

Model Context Protocol

MCP-ready integrations so agents discover and use tools with a clear protocol — built for the systems you already run.

Persistent Memory

Session and long-term memory designed for your domain — so agents remember context across steps, not just one chat turn.

Multi-Agent Workflows

Specialized agents research, decide, call tools, and hand off work — coordinated workflows that finish the job.

Guardrails & Evaluation

Human-in-the-loop gates, scoped permissions, evaluation harnesses, and audit logs — production-safe by design.

Why real agents win

Chatbots answer. Agents act. Multi-Agent Workflows research, decide, call tools, and finish the job — with memory and guardrails baked in.

Scripted answers with no real reasoning

Cannot call your CRM, docs, or internal APIs

No persistent memory across sessions

Single-turn replies — no multi-step workflows

Breaks when the conversation leaves the FAQ

No audit trail for decisions or tool use

Hard to evaluate quality beyond CSAT scores

Looks modern — delivers ticket deflection at best

Prompts without workflow mapping or ownership

Tool access glued together without guardrails

Memory scattered across tabs and spreadsheets

No Model Context Protocol (MCP) strategy

Engineers babysit brittle demos in production

Security and PII risks left unscoped

Zero evaluation harness or rollback plan

Cost spikes with no agent-level observability

LLM reasoning built for real business tasks

Tools via APIs and Model Context Protocol (MCP)

Persistent memory designed for your domain

Multi-step Multi-Agent Workflows with handoffs

30-day research and consultation before code

60-day AI agent development to production

Human-in-the-loop controls and audit logging

One accountable team from map to launch

Start Building Agents

One Agent Program — research and Multi-Agent Workflow mapping in 30 days, production AI agents by day 60. Price is scoped on consultation; Get Started opens the same modal as our other services.

Your program

Agent Program

AI agent development · 30 → 60 days

Research and Multi-Agent Workflow mapping in 30 days. Production AI agents by day 60 — scoped after consultation.

Day 30: Research, consultation, and Multi-Agent Workflow mapping
Day 60: Custom AI agent development and production delivery
LLM reasoning layers with structured tool calling
API and Model Context Protocol (MCP) integrations
Persistent memory, audit logging, and human-in-the-loop controls
Multi-step workflow execution with evaluation and monitoring
Operator training and handoff documentation

30-day workflow map

60-day agent build

Lifetime Warranty

Lifetime development warranty · View warranty terms

Why Oasbit

Eight reasons teams stay with Oasbit — unlimited scope, a dedicated core team, and a partnership built to protect your edge.

01

Exclusive in your market

We take only two clients per industry per market, so your competitive edge stays protected and exclusive to you alone.

02

From foundation to scale

From first foundation to full scale, we take on the whole stack with no ceiling on what we can build or grow with you.

03

Your dedicated core team

Every account gets a project manager, creative designer, and full-stack developer, no matter the size of your project.

04

Lifetime cover on builds

Every build we ship is covered for life. If it is something we built, we stand behind it without exception, as always.

05

AI-first for every build

AI-first backends, creative design, and SEO/GEO are built into every project from day one, not bolted on after launch.

06

Client portal, full view

One place for transparent communication, your live roadmap, and every marketing report—nothing scattered across tools.

07

Support around the clock

AI support around the clock, plus human specialists seven days a week, 9–5 EST, whenever you need a human on the line.

08

Same stack, any industry

The same technology stack across every industry. The only split is whether you're a service professional or ecommerce.

Frequently Asked Questions

Answers about AI agent development, Multi-Agent Workflows, MCP, memory, and our 30 → 60 day program.

AI agent development is the process of building autonomous systems that use large language models for reasoning, connect to external tools via APIs or protocols like Model Context Protocol (MCP), maintain persistent memory, and execute multi-step workflows. Unlike chatbots, agents plan, act, and complete work across your systems.

Multi-Agent Workflows are coordinated agent systems where specialized agents research, decide, call tools, and hand off work to each other. We design those workflows in Phase 1 so Phase 2 builds the right agents — with clear roles, guardrails, and success metrics.

Phase 1 is research, consultation, and workflow mapping. We interview stakeholders, score automation opportunities, inventory APIs and MCP targets, and deliver a Multi-Agent Workflow blueprint your team can approve before development starts.

Phase 2 is AI agent development and delivery. We build production agents with LLM reasoning, tool calling, MCP integrations, persistent memory, multi-step execution, evaluation, and operator handoff — scoped to the Phase 1 map.

Chatbots answer questions. Agents act. Our builds use large language models for reasoning, connect to external tools via APIs or Model Context Protocol (MCP), maintain persistent memory, and execute multi-step workflows with logging and human approval gates when needed.

One Agent Program covers the full 30 → 60 day path — research, Multi-Agent Workflow mapping, and production AI agent development. Pricing is scoped after consultation; use Get Started to begin. Larger multi-system scopes are reviewed on that same call.

Yes. Phase 1 inventories the systems agents must touch. Phase 2 connects agents through APIs and protocols like Model Context Protocol (MCP), with persistent memory and audit-friendly logging so tool use is visible and controllable.

Yes. Oasbit provides a lifetime development warranty on custom builds as long as the codebase is not modified by a third party. See our Lifetime Development Warranty for full terms.

What Our Clients Say

Real testimonials from businesses that have transformed their digital presence with Oasbit.

"Oasbit has been an invaluable partner in building and scaling our online business. Over the course of 2 years, they helped us increase our product offerings from 7000 to over 520,000, and they were instrumental in automating our inventory management, fulfillment process, and on-site technical optimizations. Their expertise and dedication have been instrumental in our success and we highly recommend them to any business looking to grow their online presence."

Salim F.

CEO, Too Fast Inc.

"The Covid-19 pandemic posed a significant threat to our business and the industry as a whole. We desperately needed a custom online platform, and Oasbit did not disappoint. They were able to develop a powerful system at an impressive speed that not only facilitated communication between our kitchen and chefs, but also gave our brand a new and improved image through their designs."