AI agents for teams buried in repetitive, multi-step work
Agents that read, decide and act across your tools, with guardrails, human approval for risky steps and monitoring in production.
Does this sound like your team?
“Your team copies data between tools all day”
“An AI demo worked once but nobody trusts it with real work”
“You want agents but worry about cost, errors and control”
“Every new automation is a fragile chain of scripts”
What you get with AI Agent Development
- Agent design: tasks, tools, permissions and escalation
- Tool and API integrations (CRM, email, calendars, databases)
- Multi-agent orchestration where one agent is not enough
- Human-in-the-loop approvals for risky actions
- Evaluation suite with a labelled test set
- Tracing, cost and quality dashboards
- Guardrails for data access and output
- Deployment to your cloud with runbooks
Agent Readiness Checklist
25 checks before giving an agent write access: approvals, logs, fallbacks and monitoring.
Phases, timelines and what you receive
Discover
Use-case scope, KPI baseline, data access plan
Pilot
Working pilot on real data with evaluation results
Production
Hardened, integrated, monitored system
Improve
KPI and cost reports, new use cases shipped
What we measure before Go / Adjust / Stop
Every phase ends with a decision based on numbers agreed at the start.
Quality
accuracy against a labelled test set agreed up front
Speed
response time your users will accept
Cost per run
model and infrastructure cost per task
Edge cases
what happens with bad input, silence or unknown requests
Get a plan for AI Agent Development
A few fields, no sales script. We reply within 1 business day with next steps.
Where we've done this before
50% faster time-to-hire
AI recruiting that sources, matches and ranks candidates against each job's real requirements
Agent ops from prototype to production
An operations console to register, run, monitor and govern fleets of AI agents
+12% margin, +7% revenue
An AI operating system that forecasts demand and recommends restocks, transfers and markdowns for multi-store retail
Senior people, named roles
Lead AI Engineer
Owns architecture, model choice and evaluation.
Full-stack Engineer
Builds integrations, UI and data pipelines.
Product Designer (on demand)
For user-facing assistants and dashboards.
What we build with
Industries we deliver this for
Start small, with a clear decision point
Most AI work starts with a workshop or a 4-6 week pilot.
Who this is not for, and what we won't do
- We don't start agents without a KPI baseline
- We don't give agents write access without approvals and logs
- We don't use agents where a simple rule or script is cheaper
What clients say
“Working with the Bit & Bytes team on our CRM data automation project was an excellent experience. The team understood our requirements clearly, transformed complex email data into meaningful insights, and delivered a reliable backend solution that significantly improved our workflow.”
“Bit&Bytes Team quickly understood our goals on SEO assistant project and implemented complex machine learning features with precision. there communication were clear, delivery was timely, and the overall collaboration was smooth and efficient. We're very satisfied with the results and would definitely work with them again.”
“We collaborated with Bit&Bytes team on the development of YourList, our real estate and investment networking platform. From the very beginning, they demonstrated a deep understanding of both the technical stack and the business vision behind the product. They helped us shape the MVP, ensuring smooth integration between backend and frontend. Throughout the process, they were proactive, detail-oriented, and always committed to delivering on time. Working with them seamless and highly productive, they truly went above and beyond to make the project a success.”
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
Most agents start with a 4-6 week AI Pilot. Production builds are quoted after the pilot based on integrations and volume.
Claude, OpenAI and Gemini for most work; LLaMA or Ollama when data must stay in your cloud. We pick per task based on quality and cost.
Evaluation suites before launch, guardrails on data and actions, human approval for risky steps, and monitoring after launch.
You own all code, prompts and evaluation data.
You can take it in-house with our documentation, or keep us on as an AI Pod to monitor and improve it.
Ready to talk about AI Agent Development?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one