Custom AI Agents

Chatbots answer questions. AI agents get work done. We design, build, and deploy custom AI agents — from Salesforce Agentforce copilots to autonomous data agents — that understand your business, use your tools, and deliver real outcomes.

Salesforce Agentforce, LangChain, OpenAI & Claude agents
RAG pipelines, tool use, memory & enterprise guardrails
End-to-end: from agent strategy to production deployment

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· AI agents deployed

The Reality

Why Most Enterprise AI Initiatives Stall Before They Scale

Your teams aren't failing because they lack ambition. They're failing because the AI they've deployed was never designed to understand enterprise context, take real actions, or operate with governance. These problems compound — and they're costing you millions in wasted investment and missed opportunity.

1

Chatbot fatigue is real

You've deployed chatbots that answer FAQs but can't do anything useful. Users abandon them within seconds because they can't take action or access real data.

2

One-size-fits-all AI tools fail

Off-the-shelf AI assistants don't understand your business processes, your data, or your terminology. Generic AI delivers generic results.

3

No enterprise context or grounding

Your AI doesn't know your products, policies, or customers. It hallucinates confidently because it has no connection to your actual knowledge base.

4

Hallucination risk blocks adoption

Leadership won't greenlight AI agents when the risk of incorrect, fabricated, or non-compliant outputs threatens brand reputation and regulatory standing.

5

AI that answers but can't act

Your current AI can summarise documents but can't update a CRM record, trigger a workflow, or book a meeting. It's a search engine, not an agent.

6

Integration gaps everywhere

Your AI tool doesn't connect to Salesforce, your data warehouse, your ticketing system, or your internal APIs. It's an island, not an assistant.

7

No governance or audit trail

You can't explain what your AI did, why it did it, or who authorised it. There's no logging, no role-based access, and no compliance framework.

8

Poor user adoption

Your team was excited about AI for a week. Now nobody uses it because the experience is clunky, the answers are wrong, and it doesn't fit their workflow.

Our Expertise

Four Ways We Build Your Custom AI Agents

Salesforce Agentforce & Einstein Copilots

Build and deploy custom Agentforce agents and Einstein copilots that work natively inside Salesforce — from service automation to sales intelligence and beyond.

  • Custom Agentforce agent development
  • Einstein copilot configuration & prompt engineering
  • Service, sales & marketing agent workflows
  • Salesforce-native data grounding & actions

Custom Data & Analytics Copilots

NEW

Create conversational BI experiences that let business users ask questions in natural language and get instant, accurate answers grounded in your enterprise data.

  • Conversational BI & natural language to SQL
  • Insight agents for automated data storytelling
  • Dashboard copilots & report generation
  • Enterprise data grounding & semantic layers

Autonomous Task Agents

Deploy agents that independently handle complex workflows — from document processing and research synthesis to multi-step business operations with human-in-the-loop controls.

  • Document processing & extraction agents
  • Research & competitive intelligence agents
  • Workflow automation & task orchestration
  • Human-in-the-loop approval workflows

Multi-Agent Orchestration

Design and deploy systems where multiple specialised agents collaborate — with supervisor patterns, guardrails, and governance — to tackle enterprise-scale challenges.

  • Agent-to-agent communication protocols
  • Supervisor & orchestration patterns
  • Safety guardrails & fallback mechanisms
  • Enterprise governance & audit trails

Agentic AI Architecture

The Engineering That Makes AI Agents Enterprise-Ready

An AI agent is only as good as its architecture. From RAG pipelines that ground responses in your data to safety guardrails that prevent hallucination — we engineer every layer so your agents are accurate, auditable, and ready for production.

Explore Agent Capabilities

RAG Pipelines & Knowledge Grounding

Ground your agents in enterprise knowledge with retrieval-augmented generation — connecting vector databases, document stores, and live data sources for accurate, hallucination-free answers.

Tool Use & Function Calling

Give your agents the ability to act — not just answer. We build tool integrations that let agents query databases, call APIs, update CRMs, and execute real business workflows.

Memory & Context Management

Build agents that remember. From short-term conversation context to long-term user preferences and interaction history — so every engagement feels personalised and intelligent.

Safety Guardrails & Governance

Deploy with confidence. We implement content filtering, output validation, PII protection, token budgets, and role-based access — so your agents are safe, compliant, and auditable.

Agent Ecosystem

The Platforms and Models That Power Your AI Agents

We're model-agnostic and platform-flexible. Your agents are built on the best foundation for your use case — whether that's Salesforce Agentforce, open-source frameworks, or custom LLM deployments.

Salesforce AgentforceLangChainOpenAIAnthropic ClaudeDatabricksPineconeVertex AIAzure OpenAI

+ integrations with Slack, Teams, custom web apps, and enterprise APIs

Our Process

From Idea to Production AI Agent in Weeks

01
Week 1

Agent Discovery Workshop

We map your workflows, identify high-impact automation opportunities, and define which agent types — copilots, task agents, or multi-agent systems — will deliver the fastest ROI.

02
Weeks 1–2

Agent Architecture

We design the agent architecture: LLM selection, RAG pipelines, tool integrations, memory strategy, guardrails, and deployment topology — tailored to your enterprise stack.

03
Weeks 2–6

Build & Fine-tune

Our engineers build the agents — implementing prompt chains, tool use, retrieval pipelines, and safety layers — with rigorous testing against your real-world scenarios.

04
Week 7

Deploy & Integrate

We go live — deploying agents into Salesforce, Slack, web apps, or internal platforms — with SSO, role-based access, monitoring dashboards, and user onboarding.

05
Ongoing

Monitor & Evolve

Post-launch, we track agent performance, refine prompts, expand capabilities, add new tools, and evolve the system as your workflows and AI ambitions grow.

Case Study

Enterprise Financial Services

Financial Services Firm Deploys AI Agents That Automate 90% of Client Research Workflows

A leading financial services firm was spending hours per week on manual client research, compliance checks, and report generation. We built a multi-agent system — combining a research agent, a compliance agent, and a report generation agent — that reduced the workflow from hours to minutes with full audit trails.

90%

Task automation rate

60%

Cost reduction

3

Agents orchestrated

100%

Audit trail coverage

Read the full case study
90%

Task automation achieved

Autonomous · Governed · Enterprise-Grade

Real Results

The Business Impact of Enterprise AI Agents

1000+

Projects

600+

Customers

20+

Years of Enterprise Expertise

4.5

Customer Satisfaction Score

How We Work

Engagement Options

Pick the model that fits where you are. All engagements include a dedicated AI agent lead and a clear outcome definition.

Fixed Scope

Agent Feasibility Assessment

Ideal for: Teams exploring where AI agents can add value

A 2-week deep dive into your workflows, data landscape, and automation opportunities — with a prioritised agent roadmap, architecture blueprint, and ROI projection.

  • Workflow & automation opportunity mapping
  • Agent type & LLM recommendation
  • Data readiness & integration assessment
  • Architecture blueprint & cost estimate
  • Prioritised agent roadmap with ROI projections
Start with an Assessment
Most Popular
Tailored

Custom Agent Build

Ideal for: Organisations ready to deploy production AI agents

A full agent build — from architecture and RAG pipelines through to deployment, integration, and user onboarding — delivered in 6–10 weeks with a dedicated AI engineering team.

  • Everything in Feasibility Assessment
  • Custom agent development & prompt engineering
  • RAG pipeline & knowledge base setup
  • Tool integrations & API connections
  • Safety guardrails & governance layers
  • Deployment, testing & user onboarding
Build Your AI Agent
Monthly Retainer

Managed Agent Operations

Ideal for: Teams that want expert-managed AI agent operations

We manage your AI agents end-to-end — monitoring, prompt tuning, knowledge base updates, and a dedicated AI engineering partner on call.

  • Agent performance monitoring & analytics
  • Prompt optimisation & drift correction
  • Knowledge base updates & maintenance
  • Dedicated AI agent engineer
  • Priority SLA support
Talk About Managed Service

Technology Stack

Built on the Best AI Platforms. Deployed Where You Work.

We leverage the leading AI platforms, LLM providers, and vector databases — and deploy agents directly into your existing tools: Salesforce, Slack, Teams, or custom web applications.

Salesforce Agentforce

LangChain

OpenAI

Anthropic Claude

Databricks

Pinecone

Vertex AI

Azure OpenAI