Services · AI Agent Development Services
TechEniac's AI agent development services go beyond chatbots and automation scripts. We build multi-agent systems where specialised AI agents collaborate on complex tasks reasoning through decisions, executing multi-step workflows, and escalating to humans at exactly the right moment. Built with LangGraph. Battle-tested in production.
Trusted to build
Capabilities
Systems where multiple specialised AI agents work together on complex tasks each agent handling one responsibility within a larger coordinated workflow. Sequential pipelines, hub-and-spoke dispatch, or supervised autonomous operation. The architecture matches the problem.
Agents that don't just generate text they complete work. Process insurance claims end-to-end. Coordinate hospital bed assignments across departments. Screen candidates and schedule interviews. Trigger APIs, update databases, and route decisions all autonomously within defined boundaries.
Single-model AI hits an accuracy ceiling around 75–85% for complex domain tasks. We break through that ceiling by adding verification, fact-checking, and self-correction agents around the primary generation agent. The AI checks its own work before delivering results.
Agents that continuously scan regulatory sources, detect relevant changes, and assess impact on your business automatically. New regulations are detected within hours, not weeks. Impact assessments run per-client without manual review.
AI decision-making embedded directly into enterprise workflows agents that receive execution context, make structured routing decisions, and log their reasoning to an audit trail. Lead qualification, risk scoring, ticket categorisation, and escalation triggers handled by AI, verified by humans.
We never build fully autonomous agents for high-stakes domains. Every system includes human oversight mechanisms appropriate to the risk level physician confirmation, recruiter override, approver validation. The agent assists. The human decides. Always.
Delivery process
We decompose the complex task into discrete sub-tasks, each becoming a candidate agent. What does each agent do? What data does it need? What tools can it access? How do agents communicate? Where does human oversight fit? SolidHealth AI's decomposition produced 5 agents each with a single, well-defined responsibility making the system debuggable, testable, and improvable at the individual agent level.
Three orchestration patterns cover most production use cases. Sequential Pipeline: agents execute in a fixed order, each output feeding the next (SolidHealth AI: validate → retrieve → generate → verify → format). Hub-and-Spoke: a central orchestrator dispatches specialised agents based on dynamic conditions (PatientFlow AI: orchestrator dispatches bed, surgical, discharge, and forecasting agents based on real-time hospital state). Supervised Autonomous: agents operate independently within boundaries, escalating at configured checkpoints (TalentSync AI: agents handle pre-screening end-to-end, recruiters review summary cards with one-click override).
Each agent gets the right model: GPT-4o for complex reasoning (screening scoring, impact assessment, clinical NLP). Claude Sonnet for compliance-sensitive tasks (regulatory classification, FCA boundary management). Gemini for document understanding (resume parsing, damage assessment). ComplianceGuard AI's Impact Assessment Agent was tested against 200 known regulatory changes refined until it achieved 89% accuracy independently before integration.
Individual agents working perfectly can still fail as a system. Integration testing catches issues single-agent testing cannot. LangSmith provides per-agent tracing input, output, latency, token usage, and decision rationale per step. When a pipeline produces an incorrect result, we pinpoint exactly which agent made the error reducing debugging from hours to minutes.
Every production agent system we build includes human oversight. TalentSync AI gives recruiters structured screening summaries with one-click override agents act autonomously, every decision is reversible. WorkflowAI pauses execution at configured approval nodes and routes to designated approvers via Slack or email. PatientFlow AI requires attending physician confirmation for high-acuity bed transfers. The agent assists. The human decides. Always.
Industries served
Multi-agent medical verification systems and hospital operations coordination. Patient-facing health guidance with 95%+ accuracy. Multi-facility agent orchestration across 800+ beds. HIPAA-compliant with FHIR integration.
Regulatory monitoring agents scanning 60+ sources. Impact assessment automation across multiple client companies. FCA-compliant financial analysis with boundary management. Open Banking integration.
Autonomous pre-screening workflows job decomposition, resume parsing, candidate scoring, personalised outreach, and interview scheduling. Multi-model strategies (Gemini for parsing, GPT-4o for scoring).
AI decision nodes embedded in workflow platforms. Lead qualification, risk scoring, compliance checking, ticket categorisation, and automated routing with human-in-the-loop approval at configured checkpoints.
Conversational AI agents for claims intake and processing. Multi-turn data collection, policy validation, CMS population, and FCA-compliant communication record generation all within a single agent-driven workflow.
Tech Stack
| Orchestration | LangGraph (stateful multi-agent workflows), LangSmith (agent observability) |
| LLMs per agent | GPT-4o (complex reasoning), Claude Sonnet (compliance-sensitive), Gemini (document understanding), Per-agent model selection |
| Tool integration | PostgreSQL, MongoDB, Qdrant (databases); Google Calendar, Guidewire, TrueLayer, Epic FHIR (external APIs); Least-privilege access per agent |
| State management | LangGraph MemorySaver (per-user thread isolation), PostgreSQL (long-running workflows), Redis (real-time coordination) |
Why TechEniac
Agents decompose complex problems, reason through each sub-task, and chain results together.
Agents call APIs, query databases, trigger workflows, and update systems not just generate text.
High-stakes decisions require human confirmation. The agent assists. The human decides.
Book a free 30-minute strategy session. We’ll review your product idea, discuss architecture options, and map a realistic path from idea to launch.
