Agent Architecture & Design
We map goals, tools, memory and guardrails, then design the agent loop, planner and evaluation harness before writing a line of code.
AI Agent Development
Autonomous AI agents built around your business
We design, engineer and deploy production-grade AI agents that reason, plan and act across your systems — turning repetitive workflows into always-on autonomous operations.
0%
Faster task execution
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Fewer manual handoffs
0/7
Always-on operations
0×
Higher throughput per FTE
0 weeks
Avg time to first agent
Everything included in this service
A comprehensive breakdown of the capabilities and deliverables we bring to every engagement.
Retrieval & Knowledge Grounding
RAG pipelines that ground every response in your data — with chunking, embeddings, hybrid search and freshness controls tuned per domain.
Tool Use & System Integration
Agents that call your CRM, ERP, ticketing and internal APIs safely, with structured schemas, retries and permissioned execution.
Multi-Agent Orchestration
Specialist agents that collaborate through planners, routers and shared state — reliable enough for real business processes.
Safety, Evaluation & Guardrails
PII redaction, policy checks, human-in-the-loop approvals and regression suites so agents behave predictably in production.
Observability & Continuous Improvement
Traces, prompt versioning, quality scoring and feedback loops that let us improve behavior weekly, not quarterly.
Your business, before & after AI Agents
What day-to-day operations look like today versus once AI Agents are live inside your business.
Before AI Agents
After AI Agents
Teams manually stitch together tasks across 5–10 tools every day.
Agents own the end-to-end workflow, handing off to humans only when needed.
Repetitive work consumes senior time that should go into strategy.
Senior teams focus on judgment work while agents handle the routine.
AI experiments live in notebooks and never reach production.
Agents run in production with SLAs, monitoring and rollback plans.
No visibility into how prompts, tools or data affect quality.
Every decision is traced, evaluated and continuously improved.
Errors surface late, forcing costly rollbacks and firefighting.
Guardrails and evals catch regressions before they reach customers.
Why Spearhub
What makes our approach to this service uniquely effective.
Production-first mindset
We optimize for reliability, cost and latency in production — not just demo-quality prompts.
Enterprise-grade safety
SSO, RBAC, audit trails, PII controls and private model options built in from day one.
Model-agnostic architecture
Frontier, open-source and private models — chosen per task, swappable as the landscape evolves.
Weeks to first outcome
Focused pilots go live in 6–8 weeks with measurable KPIs, not year-long research programs.
How It Works
A transparent, step-by-step engagement built for measurable outcomes.
- Step 01 / 06
Kick-off & Discovery Call
Every engagement begins with a collaborative strategy session where we understand your business goals, existing workflows, challenges, and success metrics.
- Step 02 / 06
Discover
We map the workflow, agents involved, decision points and success metrics with your team.
- Step 03 / 06
Design the Agent Loop
Define planner, tools, memory, guardrails and evaluation criteria before development starts.
- Step 04 / 06
Build & Integrate
Engineer the agent with your stack — data, APIs, auth and observability wired in.
- Step 05 / 06
Evaluate & Harden
Regression tests, red-teaming and human-in-the-loop checks until quality is production-ready.
- Step 06 / 06
Deploy & Operate
Roll out with SLAs, dashboards, feedback loops and continuous improvement cadence.
Client Success Stories
Measurable business impact from real engagements.
68% ↓ handling time
“The agent now resolves the majority of routine cases end-to-end. Our team focuses only on the complex ones.”
Head of Operations
Byovet
3× lead throughput
“Our AI SDR qualifies and enriches every inbound lead within minutes. Conversion improved without adding headcount.”
Director of Strategy
Desert Engineering Group
$1.2M annual savings
“Agents replaced a maze of scripts and manual work. The ROI showed up in the first quarter of production.”
Chief Executive Officer
Scipex
Trusted by ambitious companies of every size.
Frequently asked questions
Straight answers to the questions teams ask before engaging on this service.
Have a different question?
hello@spearhub.in →Chatbots respond. Agents reason, plan and act — calling tools, working across systems and completing multi-step tasks with guardrails and observability. We engineer them like production software, not conversational experiments.
We are model-agnostic — frontier models (OpenAI, Anthropic, Google), open-source models (Llama, Mistral, Qwen) or private-hosted variants. Framework choice depends on the workload: LangGraph, custom orchestrators, or lightweight in-house loops.
Yes. Tool integration with your CRM, ERP, ticketing, data warehouse and internal services is core to what we build — with typed schemas, RBAC and safe execution paths.
Every agent ships with input/output guardrails, policy checks, evaluation suites, human-in-the-loop approvals and full traceability. We treat safety and observability as first-class deliverables.
A focused agent pilot goes live in 6–8 weeks. Broader multi-agent programs run in phased 8–16 week cycles so value compounds over time.
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