Custom AI Agent Development for Real Business Workflows
Bitneka designs and engineers production AI agents that plan multi-step tasks, call your tools and APIs, work inside approval controls, and stay observable in production — integrated with the systems your teams already use.
Agents Built Around Plans, Memory and Tools
Every production agent starts as an architecture, not a prompt. We approach each build as custom software engineering: define how the agent plans, what it remembers, which tools it may call, and where a human stays in control before a workflow goes live.
Planning Engine
The agent decomposes each goal into ordered steps, checks preconditions before acting, and replans when a step fails instead of guessing.
Working Memory
Task context, retrieved knowledge and intermediate results are held in structured memory, so long workflows stay coherent across steps.
Tool Layer
Each tool call is a scoped, logged API action against your systems — never an open-ended instruction to act anywhere.
Agents That Act Through Your Existing Systems
An agent earns its value inside the software you already run. Bitneka agents read and write through governed API calls to your CRM, ERP, databases and SaaS tools, with a permission boundary defined for every tool.
CRM & Sales Systems
Agents update records, qualify inbound requests and prepare follow-ups inside your CRM under your data rules.
ERP & Operations Platforms
Structured calls retrieve status, validate documents and trigger the next workflow step without manual re-entry.
Databases & Internal APIs
Read and write access is scoped per tool, per environment, with every call attributable in the audit log.
Coordinated Agent Workflows, Not Single Bots
Complex work rarely fits one agent. We build orchestrated workflows where specialized agents hand off steps under explicit rules — one retrieves, one validates, one acts, one reports — with the full chain visible to your team.
Specialist Agents
Each agent owns a narrow, testable responsibility instead of one general bot trying to do everything.
Governed Handoffs
Steps pass between agents only when defined conditions are met; failed handoffs escalate to a human queue.
Workflow Rules
Sequencing, retries and escalation paths are configured as business rules your team can review and change.
Grounded in Your Knowledge Before It Acts
Before an agent answers or acts, it can retrieve from your approved knowledge — policies, manuals, tickets, contracts — so its work reflects your documents rather than generic model knowledge. Retrieval is integrated into the agent as a grounding capability, scoped to the sources each workflow is allowed to use. Where agent workflows depend on operational data, reliable data foundations matter as much as retrieval quality.
Source-Scoped Retrieval
Each agent retrieves only from the document sets its workflow is approved to use.
Cited Working Context
Retrieved passages travel with the task, so reviewers can see what the agent based its step on.
Freshness Controls
Index refresh rules help keep the agent working from current approved documents rather than stale copies.
Approvals Where the Business Needs Them
Configurable approval gates keep high-impact actions under human control before execution, with permissions and escalation rules defined around your workflow.
Approval Gates
Sending, paying, publishing or deleting can pause for a named approver, in your tools, with full task context attached.
Escalation Rules
Low-confidence or out-of-policy steps route to a human queue instead of proceeding.
Override & Audit
Every approval, rejection and override is recorded with who decided and why.
Scoped Permissions, Auditability and Data Controls
Agent security is engineered as controls, not promises: least-privilege tool permissions, environment boundaries, encryption in transit and at rest, and a complete audit trail for every action an agent takes. Controls are designed to align with your security policies and review processes.
Least-Privilege Access
Agents receive only the tool permissions their workflow requires — nothing broader.
Complete Audit Logs
Every workflow step, tool call, approval and result is logged for review, compliance checks and incident analysis.
Environment Boundaries
Agent services can run inside your cloud or VPC boundary under your data-handling rules.
Measured Like Production Software
Production agents are evaluated like production software: pre-launch eval suites, live execution traces, tool-call inspection, quality and drift monitoring, failure detection and controlled rollback when behaviour regresses. We report what the agent did — not accuracy figures we cannot evidence.
Eval Suites
Scenario tests run before launch and before every material change, against your real workflow cases.
Execution Traces
Workflow events are traceable through retrieval, tool calls, approvals and outcomes for debugging and review.
Controlled Rollback
When monitoring flags regression, versioned prompts, policies, tool configurations and workflow logic can be rolled back to the last evaluated release.
Connected to the Stack You Already Run
Agents connect through APIs to the systems your teams already use — CRM, ERP, support desks, document stores and internal services. Integration work is scoped per system during the blueprint, including authentication, rate limits and failure behaviour.
CRM & Sales Platforms
Governed connections to the CRM your revenue teams already run.
ERP & Finance Systems
Structured access to operational and finance systems of record.
Support, Documents & Internal APIs
Ticketing tools, document stores, databases and internal services, scoped per workflow.
Cloud, Private VPC or Hybrid — Your Boundary
Deployment is matched to your environment — we do not claim every deployment is air-gapped or on-premise.
Cloud Deployment
Agent services can run in your cloud account with your network and identity controls.
Private VPC
For sensitive workflows, agent services and retrieval can run inside a private VPC, with external model and API connections governed by approved network and provider controls.
Hybrid
Cloud orchestration with on-premise system connectors where part of your stack must stay in place.
From Workflow Audit to Production Monitoring
Workflow Audit
We map the target workflow, its systems, decision points and failure costs, and confirm an agent is the right tool before building.
Agent Blueprint
You receive the architecture: planner design, tool-permission map, approval gates, evaluation plan and integration scope, for approval before build.
Pilot Build
One bounded workflow is built and evaluated against your real cases in a controlled environment.
Controlled Rollout
The pilot expands in stages with approval gates and monitoring tightened at each stage.
Production Monitoring
Live runs are traced, evaluated and reviewed with your team, with controlled iteration as workflows evolve.
Tangible Artifacts, Not Just an Agent
Documentation your team can operate from, handed over at delivery.
Agent Specification
The documented design: goals, tools, permissions, approval rules and failure behaviour for every agent.
Evaluation Reports
Pre-launch and change-time eval results against your workflow scenarios.
Runbooks & Handover Pack
Operating procedures, escalation paths and ownership documentation so your team can run and extend the system.
Your Agents, Your Assets
Project-specific assets, code, and diagrams created for your engagement are assigned to your business under the terms of your engagement agreement. Agent configurations, prompts, workflows and integration code built for your engagement are handed over with documentation.
Monitoring, Review and Controlled Iteration
Post-launch support can include execution-quality monitoring, evaluation review, failure analysis and controlled iteration under change control. Support scope is defined in your engagement; we make no SLA claims beyond what your agreement states.
Where Production Agents Earn Their Keep
The workflows buyers ask us to automate, described as capabilities.
Customer Support Operations
Agents triage inbound requests, retrieve account context, draft or execute approved resolutions and escalate edge cases with full history attached.
Document & Approval Workflows
Agents extract, validate and route documents through your approval chain, pausing for human sign-off wherever your policy requires it.
Knowledge & Research Agents
Agents search your approved internal knowledge, assemble cited briefs and keep source passages attached for reviewer verification.
Internal Operations Automation
Agents move multi-step operational work between systems — status checks, record updates, exception routing — under governed tool permissions.
Chatbot, Copilot, Agent — What Actually Differs
Chatbot
Answers questions in conversation.
Copilot
Assists a user inside an application.
AI Agent
Plans and executes multi-step tasks using tools.
Agentic Workflow
Agent steps embedded inside a defined business process.
Multi-Agent System
Specialized agents coordinated toward one outcome.
RAG System
Retrieval that grounds agent work in your approved knowledge.
AI Agent Development — Buyer Questions
- A chatbot answers questions in a conversation. An AI agent can plan and execute multi-step tasks: it retrieves information, calls tools and APIs in sequence, pauses for human approval where configured, and reports what it did. If the work ends with an answer, a chatbot may be enough; when work must coordinate actions across systems, an agent may be appropriate.
- Systems that expose a usable API or supported integration path — CRMs, ERPs, support platforms, databases and internal services. During the blueprint we scope each connection, including authentication, permission level and what happens when that system is unavailable.
- Configurable approval gates keep high-impact actions under human control before execution, with permissions and escalation rules defined around your workflow. Actions such as sending, paying, publishing or deleting can require a named approver, and every decision is recorded in the audit log.
- With evaluation suites built from your real workflow scenarios, run before launch and before material changes, plus live execution traces, tool-call inspection, quality and drift monitoring, failure detection and controlled rollback when behaviour regresses. We share eval results and traces rather than unsupported accuracy claims.
- Project-specific assets, code, and diagrams created for your engagement are assigned to your business under the terms of your engagement agreement, and handed over with documentation your team can operate and extend.
- For sensitive workflows, agent services and retrieval can run inside your cloud or private VPC, with least-privilege tool permissions, encryption in transit and at rest, source-scoped retrieval, and auditable workflow events. External model and API connections are governed by approved network and provider controls. We describe implemented controls, not certifications we have not evidenced.
Ready to put an agent to work on a real workflow?
Start with a workflow audit. We will tell you plainly whether an agent is the right tool — and blueprint it if it is.