80-100
Sprint-Ready
Your use case is clear, data is accessible, and the Sprint will deliver a definitive answer. We can start within 2 weeks of scoping.
AI Agent Development Services
Ciphernutz builds custom AI agents for sales, support, operations, and research tasks to help your business work smarter.
50+Processes Automated
24/7Autonomous Task Execution
100%Code & IP ownership
$65K+In-house cost saved
Our Partner Network
Most AI agent demos look impressive. But deployments quietly fail.
67% of enterprise AI pilots never reach production not because AI doesn't work, but because the pilot was never designed to answer the right question: will this agent work in my environment, with my data?
Demos Trained on Perfect Data
Vendors showcase agents on clean, curated datasets. When real, messy data enters, accuracy drops and the business case collapses after budget spend.
Avg. 67% of pilots abandoned
No Definition of "Working"
Without pre-agreed accuracy thresholds, latency limits, and failure-mode criteria, there's no objective way to decide if the agent is ready - or if you're just hoping it is.
Most PoCs have no acceptance criteria
In-House Discovery is Expensive
A senior AI engineer costs $150K+/year. A 3- month internal research sprint to answer basic feasibility questions drains budget that should be building the product.
$150K+ to answer a yes/no question
Vendors showcase agents on clean, curated datasets. When real, messy data enters, accuracy drops and the business case collapses after budget spend.
Avg. 67% of pilots abandoned
Without pre-agreed accuracy thresholds, latency limits, and failure-mode criteria, there's no objective way to decide if the agent is ready - or if you're just hoping it is.
Most PoCs have no acceptance criteria
A senior AI engineer costs $150K+/year. A 3- month internal research sprint to answer basic feasibility questions drains budget that should be building the product.
$150K+ to answer a yes/no question
The sprint solve this
Before we write a line of code, we define exactly what 'working' means – accuracy targets, latency limits, cost-per-query. You sign off on the criteria in week 1. At week 4, you get a data-backed Go / Iterate / Stop recommendation you can act on with full confidence.
AI Agent Development Services We Offer
We have validated multiple AI-native architectures where each is tuned to solve specific use cases and make goal-centric decisions.
Knowledge & Research Agents
Searches your internal documents, knowledge bases, and approved external sources to answer complex questions that used to need an analyst. Built for professional services, legal, and finance teams.
Typical outcome: Analyst hours to seconds
Customer Support Agents
Context-aware agents trained on your product docs, policies, and order history. They handle complex, multi-turn requests a basic chatbot cannot resolve, and escalate only when it is genuinely needed.
Typical outcome: 60 to 80% ticket deflection
Sales & Lead Intelligence Agents
Prospecting, lead enrichment, qualification, and personalized outreach running 24/7 across your CRM and communication tools, with no manual input required.
Typical outcome: 4-hour response to 8 minutes
Operations & Process Agents
Monitor data streams, make contextual decisions, and trigger actions across systems, including invoice approval, exception handling, compliance checks, and escalation routing.
Typical outcome: 90%+ of exceptions handled automatically
Data Analysis & Reporting Agents
Ask a question in plain English. The agent writes the query, spots the anomalies, and turns the result into a structured report any team member can read.
Typical outcome: Weekly reports run automatically
Multi-Agent Orchestration
A planner agent delegates to specialist research, writing, review, and publishing agents, so complex multi-step business tasks run from start to finish on their own.
Typical outcome: Complex workflows run unattended
Searches your internal documents, knowledge bases, and approved external sources to answer complex questions that used to need an analyst. Built for professional services, legal, and finance teams.
Typical outcome: Analyst hours to seconds
Context-aware agents trained on your product docs, policies, and order history. They handle complex, multi-turn requests a basic chatbot cannot resolve, and escalate only when it is genuinely needed.
Typical outcome: 60 to 80% ticket deflection
Prospecting, lead enrichment, qualification, and personalized outreach running 24/7 across your CRM and communication tools, with no manual input required.
Typical outcome: 4-hour response to 8 minutes
Monitor data streams, make contextual decisions, and trigger actions across systems, including invoice approval, exception handling, compliance checks, and escalation routing.
Typical outcome: 90%+ of exceptions handled automatically
Ask a question in plain English. The agent writes the query, spots the anomalies, and turns the result into a structured report any team member can read.
Typical outcome: Weekly reports run automatically
A planner agent delegates to specialist research, writing, review, and publishing agents, so complex multi-step business tasks run from start to finish on their own.
Typical outcome: Complex workflows run unattended
Agent Feasibility Scorer
Answer 5 quick questions about your use case. We'll show you a readiness score and tell you exactly whether you're sprint-ready or what needs to happen first.
No email required to see resultsTakes under 2 minutesBased on 60+ agent builds
Question 1 of 5
1. How clear is your use case and desired outcome?
Press A, B, C or D to answer.
What your score means
60-79
Sprint-Ready with Light Prep
A 1-week pre-sprint scoping session gets you there. We handle this as part of the engagement - no extra charge.
0-59
AI Consulting First
A strategy session to clarify the use case and data readiness will make the Sprint far more predictable and successful.
Our Prime Projects and Case Studies
Explore how Ciphernutz delivers innovation, solves real-world challenges, and drives measurable outcomes across industries.
Healthcare
A WhatsApp AI Agent Helps Increase Appointments by 42% And Reduces No-Shows Up To 30%
See how a multi-specialty clinic used a WhatsApp AI agent and n8n to grow appointments 42%, reduce booking errors 85%, and cut no-shows 30%.
- Healthcare
- AI Agent Development
- WhatsApp API Integration
- n8n
SaaS
Voice AI Lead Qualification Automation With N8N-CRM Integration Drives 35% More Initial Deposits
- SaaS
- Voice AI Prompting & Conversational Design
- Voice AI Integration
- VAPI
Real Estate
A Real Estate Sales Engine Handles 5-10 Live Conversations Without Manual CRM Entries
- Real Estate
- AI Voice Agent Development
- Workflow Automation
- ElevenLabs
SaaS
AI Customer Support Engine Handles 120+ Daily Tickets with n8n Orchestration
- SaaS
- n8n Workflow Automation
- AI Support Agent Integration
- n8n
What Do You Get With AI Agent Development
A fixed price means complete clarity on scope before you sign. Here is what we deliver and what belongs to phase two.
Included in every Sprint
1 agent scope: a single, well-defined use case
LangGraph reasoning loop with tool use and memory
RAG pipeline over your documents and knowledge base
Up to 3 API or tool integrations with your existing systems
Model-agnostic: OpenAI, Anthropic Claude, or open-source
Evaluation harness with a benchmark test suite
Go, Iterate, or Stop recommendation with evidence
Full source code and prompts: 100% ownership, in your GitHub
Production architecture blueprint for Phase 2
Phase 2 cost estimate included with the final readout
14 days post-sprint support (30 days on Scale)
Not included (Phase 2 scope)
Multi-agent orchestration (2+ coordinated agents)
Production deployment with uptime SLA guarantees
Custom frontend or chat UI beyond a basic test interface
Enterprise observability stack (Langfuse, Arize AI)
SOC 2, enterprise SSO, or RBAC implementation
Fine-tuning on proprietary datasets
More than 3 tool integrations per sprint
Choose Your Validation Depth
Pick the level of proof you need before investing in a full AI agent rollout.
Validate
$ 5,000
Test feasibility using synthetic/sandbox data before connecting your real systems.
- 1 Agent Scope on Primary use case
- Tested against small dataset / anonymised data
- 7 days post delivery support
Most popular
Build
$ 8,000
Production-ready AI agents tailored to your workflows, systems, and business operations.
- Everything in Validate
- Guardrails
- Tool Integration
- RAG knowledge graph on your documents
- 14 days post delivery support
Scale
$ 12,000
Multi-agent, multi-integration scenarios. Complex orchestration at enterprise-grade.
- Everything in Build
- Multi Agent Orchestration (2-3 specialist agents)
- Cost-per-query projections
- 30 days post delivery support
Our AI Agent Development Process
Every phase offers a complete deliverable, based on your business success criteria.
1
Discovery & Criteria
Discover. Define scope, success metrics, and failure modes before a single line of code is written.
Deliverable: signed acceptance criteria.
Deliverable: signed acceptance criteria.
2
Build, Integrate & Benchmark
Build. The core agent is built, connected to your data sources and tools, and tested against real inputs, then benchmarked for accuracy, edge cases, and cost per query against the criteria you approved.
Deliverable: working agent and benchmark report.
Deliverable: working agent and benchmark report.
3
Handover & Decision
Evolve. A full readout with a Go, Iterate, or Stop recommendation. Code transferred, production roadmap and Phase 2 estimate delivered.
Deliverable: code, roadmap, Phase 2 estimate.
Deliverable: code, roadmap, Phase 2 estimate.
Why Choose Ciphernutz as Your AI Agent Development Company?
When you want to build AI agents that hold up in production, here is what you get that a demo never gives you.
A decision in 4 weeks
You leave with a Go, Iterate, or Stop recommendation backed by benchmarks, not a slide deck and a six-month roadmap.
Pricing published upfront
Three fixed tiers, visible before the first call. The number you see is the number you pay.
Tested on your real data
Every agent is benchmarked against your actual data and edge cases, never a curated demo set.
You own everything
Full source code and prompts in your GitHub, so any future engineer extends the work rather than restarting it.
Sprint cost credited forward
Your Build Sprint cost is credited toward the Phase 2 production build, so validating first never means paying twice.
Backed by the right partners
We build with Anthropic, OpenAI, Google Cloud, and n8n, so you get current models and proven tooling.
Related Services to Explore
Depending on where you are in your AI program, the Sprint is either your first step or the validation you need before scaling. These AI agent development solutions pick up where it ends.
AI Consulting & Strategy
Unsure what to automate next or how to scale your results? Our AI experts map your operations, find the highest-ROI opportunities, and build a clear, actionable roadmap around your business goals.
Agentic AI Solutions
Scale a validated agent into a full enterprise-grade agentic system that operates across multiple departments, tools, and complex workflows at once.
N8N Workflow Automation
Connect your agent to the business tools you already run through n8n, automating data flows, system handoffs, and workflow triggers without heavy development overhead.
AI MVP Development
Agent validated and ready to ship? Our focused MVP Sprint turns your proven concept into a launchable product, built fast, built right, and built for real users.
Unsure what to automate next or how to scale your results? Our AI experts map your operations, find the highest-ROI opportunities, and build a clear, actionable roadmap around your business goals.
Scale a validated agent into a full enterprise-grade agentic system that operates across multiple departments, tools, and complex workflows at once.
Connect your agent to the business tools you already run through n8n, automating data flows, system handoffs, and workflow triggers without heavy development overhead.
Agent validated and ready to ship? Our focused MVP Sprint turns your proven concept into a launchable product, built fast, built right, and built for real users.