Custom AI Agents
Our custom AI agents are designed to think, decide, and act — automating tasks like data parsing, communication, and decision-making so your team can focus on higher-value work.
AI Agent Development
Custom AI Agent Development Services for Agencies & Enterprises
BinarCode creates custom AI agent software using the right mix of AI, automation, and smart engineering to solve real problems — not just make noise. Our bespoke AI agent development services help companies save time, cut costs, and improve performance through tailored solutions that fit your goals.
AI Agent Types
What Is an AI Agent and How It Can Help Your Business Grow?
An AI agent is software that can understand information, make decisions, and take action on its own — much like a smart assistant that handles repetitive or complex work without needing human supervision every step of the way. We've built AI agents that solve real, day-to-day business problems.
Invoice & Expense Parsers
Automatically read, extract, and categorize data from invoices, receipts, and contracts. Validate amounts, flag errors, and push clean data into your systems.
Smart Action Chatbots
Go beyond conversation — execute tasks, trigger workflows, and update systems directly from chat. Turn support interactions into automated resolutions.
Job Classification Agents
Organize roles and resumes by skill, experience, and category. Score candidates automatically so HR focuses on the right people — not paperwork.
Employee Onboarding Bots
Guide new hires through IT setup, document signing, training, and introductions automatically. Adapt the flow by role so nothing gets missed.
Email Automation Agents
Read, classify, reply, and route messages based on context and priority. Handle routine responses automatically and escalate only what matters.
Content Moderators & Publishers
Review, approve, and schedule content across platforms using brand guidelines. Flag issues, check tone, and manage multi-channel publishing on autopilot.
Internal Knowledge Bots
Connect Notion, Slack, and Google Drive into one AI interface. Your team asks in plain language, gets accurate answers with sources — instantly.
AI Product Owners / Decision Agents
Understand your codebase, roadmap, and customer feedback to ideate features, write specs, and prioritize backlogs — an always-on strategic brain for your product.
What We Build
Our AI Development Services
MCP Server Development
We build Model Context Protocol (MCP) servers that let AI models securely connect to your internal data and tools. This enables real-time, context-aware AI that actually understands your business.
AI Executive Assistant
We create AI-powered automations that integrate with your existing systems to eliminate repetitive processes, reduce human error, and streamline daily operations.
Connected Workspace
Multiple tools, one bot.
JIRA
Slack
Website
Knowledge Base
GitHub
Zendesk
Product Manager
Slack bot · always on
#product-weekly
App active
D
What did we ship this week?
Here's what shipped and what's queued up next.
Shipped · Last 7 days
27PRs merged↑ 38%
via GitHub + JIRA
Breakdown · 31 issues closed
via JIRA
Notable Tickets · This Week
via JIRA + Zendesk
PROD-2418Onboarding wizard rewriteShippedGitHub
PROD-2391Webhook retry queueIn ReviewJIRA
BUG-1147Auth token refresh edge caseClosedZendesk
Engineering
Project Manager / PO Bot
A Slack bot that integrates with JIRA, GitHub and your knowledge bases to help product and engineering teams work better together. Drafts cleaner tickets, answers stakeholder questions with up-to-date context, and posts status updates so PMs and dev teams spend less time chasing information and more time shipping.
Development Cost for POC
€3,000+
Recurring Costs
Starting with €100/month
Acme Corp — Q4 invoice
BlueShift — December order
Northwind Traders — receipt
Inbox
Process
Destination
ERP · Accounts Payable
Invoices Inbox
Live
Vendor
Amount
Date
#
Acme Corp
$12,480.00
Dec 14
4521
BlueShift Logistics
$3,265.00
Dec 9
2087
Northwind Traders
$870.50
Dec 7
3041
Globex Industries
$5,210.00
Dec 16
4598
Parsing
Email Automation Agent
Structured
VendorGlobex Industries
Amount$5,210.00
DateDec 16
#4598
Operations
Email Automation Agent
Parses email contents and acts upon given instructions. For example one such agent helped companies process internal invoices much easier — automatically parsing and extracting invoices then uploading them to a third-party system, saving hundreds of hours of internal operational work.
Development Cost for POC
€2,500+
Recurring Costs
Starting with €20/month
Embedded · Codebase · Database · Errors · KB
From ticket to answer, with proof.
Support ConsoleEMBEDDED
#TKT-9412· Open
Customer ticket
SL
ProDuplicate charges on invoice #4820
Hi team — I just noticed two identical charges on my November invoice for $240.00, both timestamped within a few seconds of each other. The order page only shows one purchase. Could you take a look?
Investigation · 4 sources
Codebase
billing/invoice.ts L142
Database
invoices · user_id = 4820
Error tracker
DuplicateInvoiceError
Knowledge Base
Webhook idempotency for billing retries
Outcome
CONFIRMED BUG94% confidence
Severity
High
Affected
12 accounts
Owner
billing-team
Linked
PROD-4127
Customer Support
Internal Support Agent
A standalone module embedded in your product (or a Slack bot) that connects to your codebase, database, error tracking and knowledge base. Gives internal support teams an authoritative view of product behavior, drafts replies for end customers, and helps decide whether a reported issue is a real bug - cutting back-and-forth between support, engineering and customers.
Development Cost for POC
€5,000+
Recurring Costs
Infrastructure specific, starting with €80/month
Connected Workspace
Multiple tools, one bot.
Google Analytics
Search Console
Slack
Drive
Website
Ahrefs
Google Ads
Marketing Manager
Slack bot · always on
#marketing-weekly
App active
M
How did we do this week?
Here's how things moved this week.
Signups · Last 7 days
847↑ 23.4%
via Google Analytics
Traffic Sources · 28,402 sessions
via Google Analytics
Top Pages · This Week
via Search Console + Ahrefs
/pricing4,210+18%Search Console
/blog/ai-development-guide3,124+42%Ahrefs
/services/mcp-servers1,802−6%GA
Marketing
Marketing Manager Bot
A Slack bot connected to Google Analytics, Search Console, Notion, Slack, Drive, your website, Ahrefs and your ad platforms (Google, LinkedIn, Meta). Team members ask natural-language questions and get accurate, instant answers to drive better decisions with always-fresh data.
Development Cost for POC
€2,000 - €7,000
Recurring Costs
Starting with €20-50/month
Compliance · Schedule · Publish
Drafts to live,
in hours.
in hours.
Every post checked against policy, brand and best practices. Approved items scheduled and shipped — automatically.
/blog/2024-11/agents-b2b
How AI agents are quietly transforming
B2B operations in 2024
B2B operations in 2024
A short look at the shift from chatbots to autonomous, tool-using agents — and what changes for product, support and growth teams when the work itself moves.
After two years of hype, the agent pattern has finally settled into something useful for B2B teams. Instead of chatting, modern agents read your tools, take action and report back — quietly removing the busywork between intent and outcome.
Fig 1 · Agent adoption among B2B teams, 2022–2024
Recent surveys put the share of teams running at least one production agent above 60 percent across mid-market SaaS, with the largest gains in support and content operations.
What changes when the work moves into the agent? Three things, in our experience: the feedback loop shortens, errors surface earlier, and the team's attention shifts from doing the work to designing it.
Policy Review
Checking against 5 policies
Content Agent
Brand voice & tone
…
Editorial style guide
…
Source citation policy
…
Accessibility (WCAG AA)
…
SEO best practices
…
Publishing Schedule
Distributing to 4 channels
NOV
19
2:30 PM
Company Blog
—Queued
LinkedIn
—Queued
X
—Queued
Newsletter
—Queued
Marketing
Content Moderation & Publishing Agent
Reviews user-generated content for policy compliance, then schedules and publishes approved items automatically. Helps employees review their publishing work against internal policies and industry best practices, reducing time-to-publish from days to hours thanks to a much shorter feedback loop.
Development Cost for POC
€4,000+
Recurring Costs
Starting with €50/month
Embedded · Page-aware · Code-aware · Action-capable
Not a drop-in widget. A native part of your product.
Acme Commerce
⌘K · Search…
JM
Last 24 hours
Orders dashboard
Range: 24hRegion: All
Revenue
$48,210
↓ 12.4%
Orders
312
↓ 18.6%
AOV
$154.50
+ 2.1%
Stalled carts
23
▲ 23
Orders by hour · today
TodayYesterday
OrderCustomerStatusTotal
#48201Sarah LiuStalled$240.00
#48200Mark YatesPaid$154.00
#48199Aoife BrennanStalled$89.50
#48198D. PatelPaid$310.00
#48197Northwind Co.Refunded$1,240.00
Acme Assistant
Online · embedded
/orders/dashboard4 files in scope
Why did orders drop yesterday?
9:14 AM · Jane M.
Finding
Drop traced to 14:30 UTC
Checkout webhook timed out for 23 carts before retrying. ~$3,400 in stalled revenue.
Code reference
66// stripe webhook handler
67 timeout: 5000,
@#
Customer Support
Smart Chatbots
Custom-built chatbots integrated and embedded in software products. A wide range of use cases — from helping with general product knowledge to executing specific tasks on behalf of users.
Development Cost for POC
€5,000+
Recurring Costs
Infrastructure specific
Our Process
The Process Behind Our AI Agent Development Services
We combine best-in-class AI models with battle-tested infrastructure to build agents that are fast, reliable, and secure.
- Step 01
Discovery & Strategy
1–2 weeksWe start by understanding your business goals and challenges through collaborative workshops and meetings. Together, we define what the AI agent should accomplish, what data it will use, and what success looks like.
- Step 02
Solution Design & Planning
1 weekOur team designs the agent's architecture — mapping integrations, automations, and workflows. We identify the right technologies (LLMs, APIs, automation tools like n8n, or custom code) needed to bring the agent to life.
- Step 03
Development & Integration
1–4 weeksWe build and connect your AI agent to third-party tools, internal systems, and data sources. Whether it's parsing invoices or automating emails, we ensure everything runs smoothly and securely in your existing environment.
- Step 04
Testing, Feedback & Launch
1–2 weeksWe validate the agent with real data, refine it based on feedback, and prepare a proof of concept (POC). Once approved, we roll out the production version and help your team integrate it into daily operations.
Our Technology Stack
AI Models & Technologies Our AI Agent Development Company Uses
Battle-tested tools we combine to ship production AI agents — from model providers to orchestration, memory, and delivery.
Anthropic
Ideal for structured data and compliance-sensitive environments.
Gemini
For enterprise-level embeddings, search, and summarization.
OpenAI
For natural language understanding, reasoning, and task execution.
n8n
Low-code workflow automation for connecting APIs and third-party apps.
PostgreSQL
For storing structured operational data including vector data such as embeddings.
LangChain
Frameworks for connecting LLMs to structured data and building retrieval-augmented pipelines.
Docker
Scalable, containerized deployments.
Model Context Protocol
To connect internal company data directly with AI models.
AWS / GCP / Azure
Secure cloud infrastructure for model hosting and integration.
Frequently Asked Questions
AI Agent Development Company FAQ
Everything you need to know about working with us on custom AI agents — scope, timelines, integrations, ROI, and security.
How your AI software development company meets our business objectives?
We start every project by understanding your goals, challenges, and desired outcomes. From there, we design AI solutions that align with measurable business objectives — whether that's reducing manual work, improving accuracy, or enhancing customer experience. Each solution is custom-built, not generic, so it fits your real operations.
How can AI agents improve customer interactions and experiences?
AI agents can handle support requests instantly, personalize responses based on customer data, and operate 24/7 without fatigue. This results in faster resolutions, consistent quality, and more engaged customers — all while reducing the load on human teams.
How long does it take to develop an AI agent MVP?
A proof of concept (POC) or MVP typically takes 4–8 weeks, depending on complexity, data availability, and integrations. Simpler agents like email parsers can be ready in weeks, while more advanced ones (like multi-source knowledge bots) take longer.
Why should I choose BinarCode as my AI deployment service provider?
Because we focus on practical, production-ready AI, not just experiments. Our team blends deep technical knowledge with real business understanding, using proven tools like OpenAI, n8n, LangChain, and FastAPI to deliver secure, maintainable AI systems that create measurable value.
Can AI/ML be integrated with existing systems and technologies?
Yes. We specialize in connecting AI models to your existing tech stack using APIs, automation tools, and data connectors. This ensures the new AI capabilities enhance — not replace — your current workflows.
How do artificial intelligence development companies measure the success of a project?
We measure success based on business impact — time saved, accuracy improved, cost reduced, or engagement increased. Each project includes clear KPIs defined during discovery, and we track them post-deployment to ensure continuous improvement.
How do you ensure the AI models are accurate and reliable?
We use data validation, prompt optimization, and continuous testing to refine model performance. Each model is evaluated against real-world cases, and feedback loops are built in to keep improving accuracy over time.
Can you integrate AI solutions with our current systems?
Absolutely. Integration is part of every project. Whether your tools run on ERP, CRM, or cloud platforms, we use APIs, automation frameworks, or custom connectors to ensure smooth communication between systems.
What kind of ROI can we expect from AI implementation?
While results vary by use case, our clients typically see time savings of 50–70% on manual processes and operational cost reductions within months. The ROI comes from efficiency, better insights, and improved decision-making speed.
How do you handle data privacy and security?
We follow GDPR and industry best practices, ensuring all data stays encrypted, anonymized, and processed securely. For sensitive projects, we can deploy models on private infrastructure or behind firewalls to maintain full data control.