Which model do you use?

The one that fits the task, measured on your evaluation set. We often combine a frontier model for judgement with cheaper models for routine steps.

Can agents work with our on-premise or legacy systems?

Yes. We build typed connectors and MCP servers that expose legacy systems safely, with authentication and audit.

How do we know it is working?

A scenario test suite runs before each release, and production dashboards show success rates, costs and escalations.

What does the team on our side need to do?

Nominate a workflow owner for an hour or two a week to review traces and approve changes. We handle the engineering.

BuildEngineering & Development

AI agents that do real work inside your business

Agents that triage, research, draft, reconcile and act across your systems, with tool access, memory, approvals and full observability. Engineered as production software with evaluation and guardrails, not as a chatbot with ambitions.

Enquire about Agentic Solutions How the capacity model works

Written reply from a senior person · no pitch deck · no obligation

5 days
to first agent running on real tasks
100%
of actions logged and replayable
Human-in-loop
approvals where it matters
Your stack
deployed in your cloud

What we build

What Agentic Solutions includes

Senior-owned, AI-accelerated and integrated into your stack. Everything below sits inside your monthly capacity.

Agent design and orchestration

Single agents or multi-agent workflows with clear goals, tool permissions and failure handling.

Tool and system access

Safe connectors to your CRM, ticketing, finance, documents and internal APIs via MCP and typed tools.

Memory and context

Retrieval, state and long-running task management so agents stay accurate over time.

Guardrails and approvals

Policy checks, spend limits and human approval steps for high-impact actions.

Evaluation and observability

Scenario tests, traces and dashboards so you can see what every agent did and why.

Deployment and operations

Running in your cloud with monitoring, cost controls and on-call runbooks.

Process

How we run Agentic Solutions

Capacity starts in days. Here is what the first weeks look like.

1
Week 1
Workflow selection
Pick one high-value workflow, map the tools and decisions involved and agree the success metric.
2
Weeks 1 to 2
Agent prototype
A working agent on real tasks with traces you can inspect and a scenario test suite.
3
Weeks 2 to 6
Harden and integrate
Permissions, approvals, retries and observability, deployed into your infrastructure.
4
Ongoing
Expand
Adjacent workflows added inside the same monthly capacity as confidence grows.

Fit

When Agentic Solutions is the right call

Support and operations queues

Triage, enrichment, drafting and routing with humans approving the final step.

Research and due diligence

Agents that gather, cross-check and summarise from internal and external sources with citations.

Finance and back office

Reconciliation, invoice matching and exception handling with full audit trails.

Sales and account management

Lead research, CRM hygiene and meeting preparation done before anyone asks.

Stack

Tools we use for Agentic Solutions

We use what fits your business and your existing systems, and we say so when the answer is 'not this one'.

Models

Anthropic Claude
OpenAI
Gemini
Open-weight models

Frameworks

Claude Agent SDK
LangGraph
OpenAI Agents SDK
Vercel AI SDK
Temporal

Tools & protocols

Model Context Protocol
Function calling
Browser automation
Internal APIs

Ops

Langfuse
OpenTelemetry
Railway
AWS
GCP

FAQ

Agentic Solutions questions, answered.

Scoped tool permissions, policy checks, spend and rate limits, and human approval gates on high-impact actions. Every action is logged and replayable.