AI Agent Development
AI Agent Development That Works Inside Your Systems
AI agent development for assistants that read your data, call your tools and hand off to a human the moment they should. Every conversation is logged and every escalation rule is yours to set.
Hire Dedicated AI Agent Engineers
A look at what the numbers say about the team behind your build.
- 45+
- Engineers
- 50+
- Projects Deployed
- 10+
- Industries Worked In
- 2
- Development Facilities
- 10+
- Years of Experience
- 100+
- Happy Customers
- 24/7
- Support Availability
- 95%
- Client Retention
01 Trusted by
Teams running agents we built
From venture-backed startups to enterprise IT, these are the teams whose assistants handle real traffic every day.
02 Capabilities
AI Agent Development Services
AI agent development covers tool calling, retrieval, handoff and escalation. Those four decide whether an assistant can be trusted with real customers. We build each one explicitly, so the agent knows what it may do on its own, what it must ask about, and when to give the conversation to a person.
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Tool-Calling Agents
Agents that do the work rather than describe it: they call your APIs, write to your CRM and trigger your workflows, with every action permission-scoped, logged and reversible.
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Multi-Step Planning
Agents that decompose a goal into steps, choose tools, and recover when a step fails, with the plan visible so a human can see what it intended to do before it did it.
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Autonomous Workflow Execution
Long-running processes an agent owns end to end: triage, enrichment, routing and follow-up, with checkpoints where a person signs off on anything irreversible.
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Agent Orchestration
Several specialised agents coordinated by one supervisor, so each has a narrow remit and a clear handoff instead of one prompt trying to do everything.
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Agent Observability & Tracing
Every run traced step by step, prompt, tool call, result, cost, so a bad outcome is diagnosable rather than mysterious.
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Guardrails & Approval Gates
Refusal behaviour, PII redaction and injection defences enforced in the pipeline, plus hard limits on what an agent may do without a human approving it.
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03 Our process
How an AI Agent Development Build Runs
An agent build runs in seven steps, from requirements through tool design, retrieval, evaluation and rollout, to the monitoring that keeps it improving after launch. Every step ends with something you can review, so you are never asked to approve a system you have not watched behave.
What AI development costs-
Requirements Analysis
We start by understanding your clinical workflows, stakeholders, and constraints. Our team documents use cases, success metrics, data sources, and PHI boundaries, then defines responsibilities and approvals. This creates a clear scope that prevents surprises and reduces rework.
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AI Strategy & Roadmap
We translate priorities into a phased roadmap with measurable KPIs, timelines, and risk controls. Our plan covers model choices, retrieval needs, integrations, and rollout steps. You get a practical sequence that leadership can approve and teams can execute.
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Model Design & Development
We design the right approach, whether LLM, ML or hybrid, then build prompts, tools and pipelines. We create evaluation datasets, define pass and fail thresholds, and iterate with weekly demos. The goal is reliable behaviour across real clinical and operational scenarios.
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Integration With Existing Systems
We integrate with EHR-adjacent systems, CRMs, ticketing, and data platforms through secure APIs and middleware. We add RBAC, audit logs, rate limits, and fallbacks. Integrations are staged and reversible, protecting production workflows during rollout.
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Testing & Compliance Checks
We test functional accuracy, edge cases, privacy controls, and workflow safety before launch. Our checks include auditability, access rules, and documentation for review. We validate performance under load and confirm outputs stay grounded and clinically appropriate.
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Deployment
We deploy through CI/CD with monitoring, alerts, and rollout controls. Our team validates behaviour in production, watches the first weeks closely, and keeps a rollback path open until the new workflow has settled.
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Support & Optimization
We monitor drift, cost, and accuracy after launch, and tune retrieval, prompts, and thresholds as guidelines change. You get documented systems and a named team that remembers the reason behind each decision.
04 Industries
AI Agents for Regulated Industries
Assistants that respect the workflows, records and rules each sector already runs on.
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ITSM
Service-desk copilots that triage tickets and deflect L1/L2 volume, built and maintained by dedicated engineers in your existing tooling.
9+ Projects -
Legal
Contract and trust document review with retrieval over your own precedent library, cutting document review time by 60%.
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Healthcare
Clinical documentation, intake, and patient records under HIPAA-compliant, auditable data flows, reducing documentation time by 40%.
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Real Estate
Listing intelligence, valuation support, and agent workflows where search, updates, and coordination run continuously.
7+ Projects -
Construction
Estimating and field reporting connected to systems crews already use, delivered by dedicated teams who ramp into your stack.
8+ Projects -
Logistics
Dispatch, tracking, and exception handling where timing and visibility drive the operating decisions of the day.
6+ Projects
05 Case studies
Agents we have shipped
Assistants built, launched and still handling traffic.
Change Management
AI-Powered Enterprise Change Management for Large-Scale Organizations
Enterprise change management software letting organisations execute, monitor and sustain change faster, with the progress of every initiative visible in one place.
Construction Management
Real-Time Construction Coordination, From HQ to Field
A construction coordination platform for multi site work, replacing spreadsheets and scattered email with tasks, schedules and on site progress synced in real time.
Legal & Estate Planning
Building a Secure, Multi-Portal Legal Platform
A digital estate planning platform running end to end across three portals, simplifying legal documentation and improving transparency for every party to a trust.
AI Based Real Estate Property
AI-Driven Property Insights Platform
Landwise NWA transforms commercial real estate workflows by providing AI-powered insights and data integration for faster decisions.
AI Automation
AI-Powered Content Automation Platform
An AI content engine that turns sales and strategy calls into ready-to-post content, matched to the brand's own voice and scheduled straight to LinkedIn.
06 Client review
They understood the workflow before writing code.
The team mapped our intake process, flagged the compliance constraints we had missed, and delivered the first working release inside the quarter.
Clutch
07 Tech stack
The agent stack we build on
Proven models, frameworks and tooling for assistants that hold up in production.
- OpenAI
- Claude
- Gemini
- Llama 3
- Mistral
- Falcon
- LangChain
- LlamaIndex
- Haystack
- DSPy
- LoRA
- PEFT
- Axolotl
- Unsloth
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Chroma
- OpenAI API
- Anthropic API
- Vertex AI
- Bedrock
- LangSmith
- Langfuse
- Arize
- Helicone
- Guardrails AI
- NeMo Guardrails
- Presidio
- Streamlit
- Chainlit
- Next.js
- Vercel AI SDK
08 Challenges
What makes agent projects stall
Agent projects stall when the assistant has no clear boundary, when retrieval returns the wrong document, or when nobody agreed what happens on failure. We define escalation rules, ground every answer in your own content, and log each conversation, so all three become decisions rather than surprises.
Agents that answer but cannot act
Free rein over your systems
Agents that loop forever
No trace of what it did
One prompt doing five jobs
Nobody owns the failure path
09 Advantages
Why Teams Pick Us for AI Agent Development
Teams pick us for agent work because we bring engineering depth alongside the escalation policy and audit trail that let an assistant near real customers. Every action an agent can take is enumerated before launch and every conversation is logged, so you can always answer what happened and why.
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Agent Engineers, Not Bot Builders
Senior engineers who have shipped tool-calling agents into production systems with real permissions, real escalation and real audit requirements.
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Every Action Logged
Tool calls, retrieved sources and decisions are all recorded, so an unexpected outcome is an investigation of minutes rather than days.
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Built Into Your Stack
Your CRM, ticketing, identity and warehouse, integrated properly, not a widget bolted on the front with no idea who the user is.
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Narrow Agents, Clear Remits
We build several focused agents with explicit handoffs rather than one that tries everything, because narrow scope is what makes behaviour predictable.
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Limits Set in Week One
Step ceilings, cost caps and loop detection are requirements rather than afterthoughts, so a confused run stops instead of escalating.
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A Defined Failure Path
What happens when the agent cannot finish is designed, not discovered, every run ends somewhere a human can pick it up.
10 More services
Other services we build
The rest of our AI engineering range, from custom models to dedicated delivery teams.
- Chatbot Development Assistants that answer from your own content, hand off cleanly to a person, and log every conversation for review.
- AI Copilot Development Copilots built into your product, so the assistant works where your users already are rather than in a separate window.
- AI Integration We wire AI into the systems you already run, with identity, data, latency and failure behaviour designed before anything ships.
- IT Staff Augmentation Senior engineers who join your sprints, tools, and review process, so capacity goes up without your team losing control of priorities.
- Business Process Automation We automate the repeatable parts of a process, from document intake to decisions and handoffs, with an exception path designed before the happy path.
11 FAQ
Frequently asked questions
The things teams ask before starting with us.
AI agent development involves defining what the agent may do on its own, connecting the tools it can call, grounding it in your own content, and setting the rules for when it hands a conversation to a person. Every action is enumerated before launch and every conversation is logged.
Two layers. Permissions scope what the agent can reach at all, and an approval step gates anything irreversible, refunds, deletions, outbound messages. Both are configuration rather than prompt instructions, because a prompt is a request and a permission is a rule.
No, and the ones that work are not designed to. The agent takes the repetitive volume and hands the rest over with context attached. Teams typically see deflection on tier-one questions and more time for the cases that actually need a person.
We start with a short discovery call to clarify goals, constraints, and success metrics. Then we identify high-impact AI use cases, review your data and systems, and propose a phased roadmap with costs and risks attached to each phase.
Discovery runs 2 to 4 weeks, an MVP typically lands in 8 to 16 weeks of weekly-demo sprints, and operate is an ongoing arrangement with monitoring and support after launch.
Fixed-scope work is priced per milestone, dedicated teams are billed monthly per seat, and staff augmentation is weekly or monthly. You pick the model that fits and can switch between phases. There is a fuller breakdown of what moves the number on our AI development cost page.
You do. The full repository, documentation, and deployment transfer to you at every milestone, with no lock-in to us.
NDAs from day one, scoped access, and data residency decided at the architecture stage. We work within HIPAA, SOC 2, and similar requirements where they apply.
We monitor accuracy, cost, and uptime, run regression checks as models drift, and keep a defined escalation path with support so the system stays healthy after release.
12 Book a Call
Ready to scope your agent build?
Tell us what you want the assistant to handle. We come back with an approach, a timeline, and the escalation rules it needs.
- 2451 West Grapevine Mills Circle, Grapevine, TX 76051 · USA
- hello@kodertal.com
- Reply within 1 business day, 24/7 support once live