Tool-using agents
Models choose and use approved software tools to complete tasks.
What we can scope: Customer requests become checked CRM updates and draft responses.
NowTechnical source
FRONTIER AI, APPLIED TO BUSINESS
From the labs.
Into useful work.
48 capabilities we can evaluate for your business: agents, graphs, loops, memory, voice, documents, optimization and more.
Reviewed October 31, 2026. This is a practical technology map, not a promise that every capability fits every project. Some techniques are established; others need a pilot or remain research.
EXPLORE WHAT WE CAN BUILD
Start with the business need.
48 of 48 capabilities
Technical source
Workflow graphs
An explicit map controls steps, branches and handoffs.
What we can scope: Run order intake, quote preparation, approvals and order entry.
NowTechnical source
Durable execution
Saved execution state lets work survive interruptions and resume.
What we can scope: Pause for a manager or supplier, then continue without losing the case.
NowTechnical source
Specialist agent teams
A coordinator assigns separate jobs to focused agents.
What we can scope: Research a customer, prepare a quote and check terms in parallel.
Now, boundedTechnical source
Hierarchical teams
Department coordinators supervise narrower agents.
What we can scope: Coordinate sales, operations and finance with clear ownership.
PilotTechnical source
Parallel fan-out and aggregation
Independent work is distributed and the outputs are reconciled.
What we can scope: Review hundreds of contracts or acquisition documents.
NowTechnical source
Event-driven and scheduled agents
Work starts on a business event or schedule.
What we can scope: React to an incoming lead, overdue invoice or expiring contract.
NowTechnical source
Managed agent runtimes
Providers operate parts of the agent harness, state and sandbox.
What we can scope: Deliver services faster while keeping business logic and data boundaries explicit.
NowTechnical source
Context engineering
Choose the right instructions, evidence, tools and current state for each job.
What we can scope: Build department and role briefs with objectives, limits and examples.
NowTechnical source
Persistent scoped memory
Store useful facts and preferences beyond one conversation.
What we can scope: Retain approved tone, account history and project decisions; allow edits and expiry.
NowTechnical source
Reusable agent skills
Package instructions, scripts, templates and reference material.
What we can scope: Turn the company’s best procedures into reusable capabilities.
NowTechnical source
Retrieval-augmented generation
Retrieve relevant source material before drafting an answer.
What we can scope: Answer policy, product and customer questions with source references.
NowTechnical source
Knowledge graphs and GraphRAG
Use relationships between entities as part of retrieval.
What we can scope: Link vendors, contracts, subsidiaries and obligations for portfolio analysis.
PilotTechnical source
Governed semantic metrics
Define business measures consistently before AI queries them.
What we can scope: Make every dashboard and assistant use the same margin and revenue definitions.
NowTechnical source
Long-context management and compaction
Condense or retrieve information as tasks outgrow a working context.
What we can scope: Carry long projects forward while retaining decisions and provenance.
NowTechnical source
Shared team context with private user context
Combine shared expertise with separately controlled personal conversations.
What we can scope: Give every account team an assistant without merging all employee information.
Now, verify accessTechnical source
MCP integrations
Standard interfaces expose tools and data to AI applications.
What we can scope: Connect approved CRM, files, calendars and internal tools.
NowTechnical source
Agent-to-agent interoperability
A2A standardizes task exchange between separate agent systems.
What we can scope: Connect a client’s existing specialist agents with the Team OS.
PilotTechnical source
Dynamic tool discovery
Load relevant tools when needed instead of every tool at once.
What we can scope: Support many integrations without crowding the model’s context.
NowTechnical source
Programmatic tool calling
Code coordinates tool calls and processes intermediate data.
What we can scope: Compare thousands of records without sending every row through a model.
NowTechnical source
Browser and computer-use agents
Agents read screens and interact with existing interfaces.
What we can scope: Automate a legacy supplier portal when suitable APIs are unavailable.
PilotTechnical source
Realtime voice agents
Speech interfaces combine conversation, tools and handoffs.
What we can scope: Handle inbound calls, qualify requests and prepare bookings.
Now, boundedTechnical source
Multimodal document intelligence
Extract text, layout, tables and confidence signals from documents.
What we can scope: Process invoices, applications and purchase orders with review queues.
NowTechnical source
Agentic image and video inspection
Models actively inspect relevant visual details or video segments.
What we can scope: Turn field recordings into draft job reports, training material or exception flags.
PilotTechnical source
Plan–act–observe loops
An agent uses a result to choose its next action.
What we can scope: Investigate a support issue until solved, blocked or over budget.
NowTechnical source
Generate–check–repair loops
A result is checked, corrected and checked again within a limit.
What we can scope: Validate a quote, report or software change before release.
NowTechnical source
Human approval and exception loops
Work pauses at specified thresholds or uncertain cases.
What we can scope: Require approval for unusual discounts, payments and commitments.
NowTechnical source
Outcome and evaluation loops
Completed work is measured against a representative test set and business outcomes.
What we can scope: Improve a deployed workflow through reviewed releases.
NowTechnical source
Structured outputs and deterministic checks
Outputs follow a schema; code checks arithmetic and business rules.
What we can scope: Catch missing fields, duplicate invoices and inconsistent totals.
NowTechnical source
Agent observability
Record model calls, tools, handoffs, failures, costs and outcomes.
What we can scope: Give managers a review trail and engineers a way to diagnose failures.
NowTechnical source
Permission boundaries and isolated execution
Limit tools, credentials, data access and code execution.
What we can scope: Constrain what an agent can read, change or send.
NowTechnical source
Agent QA and adversarial testing
Test incorrect sources, confusing inputs and hostile instructions.
What we can scope: Sell ongoing reliability reviews for production agents.
NowTechnical source
Model routing and reasoning budgets
Assign routine work to cheaper models and reserve stronger reasoning for harder work.
What we can scope: Lower cost per successful case while maintaining measured quality.
NowTechnical source
Prompt caching, batching and context budgets
Reuse eligible computation and move nonurgent work to efficient processing.
What we can scope: Cut repeated context cost and smooth high-volume workloads.
NowTechnical source
Fine-tuning and preference training
Update model parameters using approved examples or preferences.
What we can scope: Specialize a repeated task once simpler methods reach their limits.
PilotTechnical source
Distillation and small specialists
Train a smaller model for a narrow job using suitable permitted examples.
What we can scope: Reduce cost for repeated classifications or tool-selection tasks.
PilotTechnical source
Reinforcement fine-tuning
Use an explicit grader to reward better responses during training.
What we can scope: Improve a narrow, objectively scorable task.
Selective pilotTechnical source
Private and open-weight deployments
Run supported models in an environment controlled by the client.
What we can scope: Serve locality, customization or predictable high-volume needs.
Selective pilotTechnical source
Process intelligence and event analysis
Use operational records to expose delays, rework and bottlenecks.
What we can scope: Choose the next automation using measured process performance.
Now; connector-dependentTechnical source
Forecasting foundation models
Specialized models forecast multiple related numerical series.
What we can scope: Pilot demand, staffing or inventory forecasts against existing baselines.
PilotTechnical source
Code agents and software generation
Agents draft and modify software and can execute tests.
What we can scope: Build branded portals, integrations and internal applications.
Now, reviewedTechnical source
Interactive AI workspaces
Custom interfaces put agents, evidence, approvals and tools in one place.
What we can scope: Deliver a white-label AI Team OS with role-based access.
Now; custom productTechnical source
Generative images and video
Models create or edit visual content from instructions and references.
What we can scope: Produce brand-controlled marketing variants and training drafts.
Now, reviewedTechnical source
Evolutionary optimization
Agents propose code or algorithms and search using an objective evaluator.
What we can scope: Pilot better dispatch rules, packing strategies or compute allocation.
Selective pilotTechnical source
AI plus constraint solvers
Language interfaces collect requirements; solvers enforce mathematical constraints.
What we can scope: Optimize schedules and routes with explicit capacity and service limits.
Now; established foundationTechnical source
Operational simulation and digital twins
A calibrated model represents a process so proposed changes can be tested.
What we can scope: Compare staffing and workflow scenarios before changing operations.
Selective pilot; design proposalTechnical source
World models
Generative models simulate interactive visual environments.
What we can scope: Explore training and prototyping where physical fidelity is not assumed.
Watch / researchTechnical source
Physical and embodied AI
Models help perceive, plan and operate through robotic systems.
What we can scope: Consider warehouse or inspection pilots with a robotics integrator.
Specialist pilotTechnical source
No matches. Try a shorter phrase or choose all areas.
Readiness is our scoping guidance. “Now” means a bounded implementation can be assessed using available tools, not that Palnau has a prebuilt connector or proven result for every use case. Pilots need evidence before rollout. Vendor access, terms and model support must be checked for the project.
PREPARE FOR MORE CAPABLE AI
Build for progress.
Measure every upgrade.
Connected sources, modular tools, permissions, tests and clear ownership let your company adopt better models when they earn their place.
SI means superintelligence. Today’s work uses available AI. Superintelligence remains a future capability; we do not claim to deploy it today.
- Model choice follows the taskEvaluate quality, tool reliability, privacy needs and total cost.
- Knowledge stays portableYour source records and procedures should outlast a single model.
- Cost stays visibleTrack the cost of a correct result, including review and failures.
- Research stays separate from productionWorld models and robotics need different evidence and specialist controls.
BUILD YOUR WORKSPACE
Bring us the work.
We’ll build the system.
Start with one useful workflow. Prove the result. Expand what works.
Free 30-minute call with Oliver. Scope, running costs and project price agreed before work starts.