AI agent development
AI agents that finish the job, safely
Navelo Software is an AI agent development company. We design and build custom agents that read your data, use your existing tools through secure integrations and complete multi-step work such as triaging tickets, preparing quotes or reconciling documents. Every agent ships with human approval steps, audit logs and spending limits.
At a glance
- Engagement
- Fixed-scope projects or ongoing product teams
- Cadence
- Live demo and working build every week
- Clients
- Startups and businesses worldwide
- You own
- 100% of the code, designs and accounts
Overview
An agent is software that decides its next step instead of following a fixed script. That makes it powerful for messy, judgement-heavy work, and risky if it can act without limits. Most of our effort goes into the second half: deciding what the agent may do on its own, what needs a human, and how every action is recorded.
We start with one workflow that has a measurable cost today, build the narrowest agent that can handle it, and put it in front of real cases with a person approving its actions. Autonomy is widened only where the logs show it is earned.
What you get
What’s included. End to end.
01
Workflow and risk mapping
Which steps an agent should own, which stay with people, and what could go wrong at each step, agreed in writing before we build.
02
Tool and data integrations
Secure connections to your CRM, helpdesk, ERP, inbox, documents and internal APIs, including Model Context Protocol (MCP) servers where they fit.
03
Guardrails by design
Least-privilege permissions, approval gates for actions that move money or data, rate and spend limits, and prompt-injection defences.
04
Evaluation suite
A test set built from your real cases, so every prompt or model change is measured for accuracy, cost and speed before it ships.
05
Observability and audit trail
Every step, tool call and decision logged and searchable, with dashboards for volume, outcomes, escalations and cost.
06
Operator console
A simple interface where your team reviews, approves, corrects and hands work back to the agent.
- Multi-step agents
- Tool use & MCP
- Multi-agent orchestration
- Human-in-the-loop approvals
- Evaluation & testing
- Audit logs
- Cost controls
- Prompt-injection defence
Typical technology
- OpenAI, Anthropic & Google models
- Open-weight models
- Model Context Protocol
- TypeScript & Python
- PostgreSQL & pgvector
- Queues & workflow engines
- OpenTelemetry tracing
Indicative only: we choose the stack per project, around your team, budget and existing systems. See how we work.
What it means for you
01
Work that completes itself
Repetitive multi-step tasks handled end to end, with people focused on exceptions and judgement calls.
02
Risk you can see
Clear limits on what the agent may do, and a full record of what it did and why.
03
Model freedom
A provider-neutral design, so you can switch models as prices and capabilities change.
Related work
Built by our team. Open the details.
These are Navelo Software concept builds, designed to show how we approach agent products: an orchestration platform, a support agent, a document agent and a sales assistant. They are not client projects. Open any one to see the screens and how it is built.
AgentryAI · Agent Orchestration · Web · ConceptBuild, run and govern multi-agent workflows.
ResolvoAI · Customer Support · Web · ConceptAn AI support agent that knows when to ask a human.
DocuviaAI · Document Automation · Web · ConceptAI that reads invoices, checks them and posts them.
ProspectaAI · Sales Automation · Web · ConceptAn AI sales assistant that qualifies, briefs and drafts in seconds.
Process
How we work. Week by week.
- 1
Pick one workflow
We size candidate processes by volume, cost and risk, then choose one with a clear before-and-after measure.
- 2
Prototype on real cases
A working agent runs against a sample of your historical cases so you see its accuracy before any customer does.
- 3
Shadow mode
The agent drafts, a person decides. We compare its suggestions to what your team actually did.
- 4
Supervised launch
The agent acts on low-risk cases, escalates the rest, and every action stays reviewable.
- 5
Expand on evidence
New tools, cases and autonomy are added only when evaluation results and audit logs justify it.
Pricing
Every product is different. So is every quote.
We don’t sell packages. We scope ai agent development around your goals and send a fixed quote you can plan around.
- Step 1
Tell us about it
A few lines on the product, users and timing.
- Step 2
Scoping call
Goals, must-haves and constraints — a conversation, not a pitch.
- Step 3
Fixed quote
A written scope, timeline and price. Yours to keep.
Why Navelo Software
Why teams choose us.
- Guardrails, approvals and audit logs are part of the first release, not a later phase.
- We measure agents against your real cases before they touch a customer.
- Provider-neutral architecture: no lock-in to a single model vendor.
- One team for the agent, the integrations and the product around it.
- You own the code, prompts, evaluation sets and data pipelines.
FAQ
Common questions.
What is an AI agent, and how is it different from a chatbot?
A chatbot answers questions. An AI agent can also take actions, such as updating a record, sending an email or creating an invoice, and decide which step to take next. Read our guide to AI agents vs workflows vs chatbots.
How do you stop an AI agent from doing something harmful?
By limiting what it can touch. Agents get the narrowest permissions that work, actions that move money or data need human approval, spending and rate limits are enforced in code, and every action is logged. We design against the risks in the OWASP agentic top 10.
Should we build a custom agent or use an agent platform?
If an off-the-shelf platform covers your workflow, use it. Custom agents make sense when the process is specific to your business, touches several internal systems, or needs tighter control over data and cost. See build vs buy for AI agents.
Which AI models do you use?
We choose per task. Frontier models from OpenAI, Anthropic and Google handle complex reasoning, smaller models handle routine steps cheaply, and open-weight models run privately when data must stay in your environment.
How much does AI agent development cost?
Every product is different, so we don't publish fixed prices. After a short discovery conversation about your goals, users and must-have features, Navelo Software sends a written scope with a fixed quote and timeline. Get a quote and you'll hear back within one working day.
Do I own the code and designs?
Yes. Everything we create for your project — source code, designs, documentation and accounts — belongs to you and is delivered into repositories and accounts in your name.
Do you work with clients in other countries and time zones?
Yes. Navelo Software works with founders and product teams worldwide. We run projects asynchronously with written updates, shared boards and a weekly live demo scheduled at a time that suits your team.
Related services
- Process mapping and automation across your tools, combining rules, AI and human approvals.AI Automation & Workflows
- Customer and internal assistants grounded in your own data, with citations and permission-aware retrieval.AI Chatbots & RAG Development
- Open-weight models deployed on your servers or private cloud for data that must stay in-house.Private & Local LLM Deployment
Guides from the Journal
- AI Tools · 4 minHow to Choose an LLM for Your Business: A Practical Framework
- AI Agents · 6 minAI Agents vs AI Workflows vs Chatbots: How to Choose
- AI for Business · 6 minBuild vs Buy for AI Agents: Custom Development or a Platform?
- AI Governance & Security · 7 minAI Agent Security: The OWASP Agentic Top 10 in Plain English
- AI News Analysis · 6 minWhy 40% of Agentic AI Projects Will Fail, and How to Ship the Rest
- AI Agents · 6 minModel Context Protocol (MCP) Explained for Business Teams
Work with us
Planning ai agent development? Let’s scope it.
Tell us what you're building. We reply within 24 hours, and once the scope is clear you get a written plan, timeline and fixed quote — no obligation.