Scope to a boundary
Define the smallest system boundary that still contains the problem, and name what sits outside it.
Scope statement with explicit exclusions
Artificial Intelligence
Agentic & Multi-Agent Systems
Systems that take actions, with the containment that makes that acceptable.
Problems we are called for
- Agents with unbounded permissions
- Failures that cannot be traced
- No human review at consequential steps
Scope of work
- Tool and permission design
- Execution tracing
- Approval gates
- Failure containment
How the engagement runs
- Task analysis
- Permission model
- Build
- Supervised rollout
What you receive
- Agent runtime
- Permission model
- Trace and audit tooling
Operating position
How we think about agentic & multi-agent systems
Work in Agentic & Multi-Agent Systems is usually inherited rather than designed. Systems accumulate interfaces, exceptions and undocumented behaviour until change becomes expensive. Our first contribution is an honest map of what exists, what it costs and what can safely be removed.
Agentic & Multi-Agent Systems rewards teams that can prove behaviour, not teams that can demonstrate it once. We build the evidence path — measurement, acceptance criteria, operational ownership — into the engagement so results survive the handover.
Engagement stance
We do not take engagements where the outcome depends on a claim we cannot evidence. If a decision needs a specialist we are not, we say so before contracting.
Signals
When clients bring us in
Two credible internal positions disagree and there is no shared evidence to settle it.
Vendor claims cannot be tested against your own data or constraints.
Incidents repeat with different symptoms and the same underlying cause.
Ownership of a critical interface is unclear once the original team moves on.
If none of these describe agentic & multi-agent systems in your organisation, a short scoping call is usually a better use of time than a proposal.
Landscape
What we look at first in agentic & multi-agent systems
Before any recommendation, we build a shared picture of the ground. These are the six things we examine, in this order.
01
Decision surface
The handful of choices that actually move cost, risk and speed — and the evidence each one needs before it can be made.
02
System of record
Where the authoritative data lives, who writes to it, and what quietly depends on it that nobody documented.
03
Integration surface
Every interface the work must cross: internal services, vendors, hardware, batch files and the exceptions around them.
04
Operational reality
What the people running the system do on a bad day, and the workarounds that have become load-bearing.
05
Cost drivers
The three or four factors that determine run cost, and whether they scale with usage, data or headcount.
06
Failure behaviour
How the system degrades rather than how it performs when everything is working as intended.
Method
How the engagement runs
A typical agentic & multi-agent systems engagement moves through five stages. Each stage ends with something you can read, test or hand to someone else.
Instrument before changing
Put measurement in place first, so improvement can be demonstrated rather than asserted.
Baseline metrics and collection method
Build the thin path
Deliver one complete route through the system end to end before widening coverage.
Working path in a real environment
Harden under real conditions
Exercise failure modes, load, recovery and access control against the behaviour production will demand.
Failure and recovery test results
Transfer operation
Document runbooks, alarms and ownership, then run the system with your team before stepping back.
Runbooks and a supervised operating period
Questions
The questions this work answers
Most agentic & multi-agent systems engagements start because one of these has no confident answer.
01
Is the problem we have been handed the problem we actually need to solve?
02
What would we have to measure to know whether this is working?
03
Which part of this system would hurt most if it failed on a Friday night?
04
What are we paying for that no longer earns its place?
05
Can a new engineer understand this in a week, or only the person who built it?
06
If we stop here, is what we have still usable?
Capability
Where we can take agentic & multi-agent systems
Engagements usually begin at one of these layers and move outward only when there is a reason to.
- 01
Assessment
Independent reading of the current system with a stated method, so findings can be challenged on evidence rather than opinion.
- 02
Architecture
Interfaces, data contracts and boundaries designed so the next change is cheaper than the last one.
- 03
Build
Delivery in increments that each carry acceptance evidence and can be stopped without leaving the system worse.
- 04
Operation
Runbooks, alarms, ownership and a supervised period before we step back.
Outputs
What you receive
- Working software or infrastructure in your environment
- Tests and acceptance evidence attached to each increment
- Runbooks, alarms and ownership for day-two operation
- A handover session recorded for the team that inherits it
Engagement boundary
What agentic & multi-agent systems work covers
- Engineering, architecture and operating design
- Independent assessment with a stated method
- Delivery with acceptance evidence and handover
What it does not cover
- — Legal, tax or accounting advice
- — Certification, audit sign-off or regulatory approval
- — Claims about outcomes we have not measured
Formats
Ways to work with us
Any of these can carry agentic & multi-agent systems work. Pricing is quoted after scoping; there are no published rates.
45 minutes, no charge
Scoping call
We establish the decision you need to make and whether BELTO is the right party for it. If we are not, we say so and point you somewhere useful.
A written summary of what we heard
Two to four weeks
Assessment
A bounded, independent read of the current system with a stated method, ending in findings your team can challenge line by line.
Findings document and option set
Scoped per project
Delivery engagement
Design and build against agreed acceptance criteria, in increments, with evidence attached to each one.
Working system plus handover pack
Fixed term, renewable
Embedded capacity
Senior engineering alongside your team under your direction, with an explicit objective and an agreed end date.
Delivered work and documented practice
Reading
Related thinking and published work
Published positions, research and technical case studies that inform our agentic & multi-agent systems work.
Questions
Practical questions
- How quickly can agentic & multi-agent systems work start?
- Scoping calls are usually available within a week. Assessment work typically starts two to three weeks after a scope is agreed, depending on access and availability.
- What do you need from us to begin?
- A named owner for the decision, access to the systems and people involved, and agreement on what the engagement must produce. Everything else we can build from there.
- Do you publish rates?
- No. Work is quoted individually after scoping, because the same title can describe a two-week read or a six-month build.
- Can you work alongside our existing suppliers?
- Yes. We define interfaces and responsibilities in writing so accountability stays clear, and we do not take engagements that depend on displacing a supplier to succeed.
- What happens at the end?
- Every engagement closes at a documented decision gate: continue, adjust or stop. You receive the material, the reasoning and named ownership.
Next step
Discuss agentic & multi-agent systems
Engagements are scoped and quoted individually; there are no published rates. A first call establishes the decision you need to make, the constraint that governs it and whether BELTO is the right party for the work.
One-pager
Take this away as a PDF
Agentic & Multi-Agent Systems — BELTO one-pager
A single printable page covering what we do here, how engagements run and what to send us to start. Useful for forwarding internally.
PDF · 297 KB